pyarrow: Constrain pandas<3 if pyarrow<15

[IzerOnadimQC]

Checklist

• Used a static YAML file for the patch if possible (instructions).
• Only wrote code directly into generate_patch_json.py if absolutely necessary.
• Ran pre-commit run -a and ensured all files pass the linting checks.
• Ran python show_diff.py and posted the output as part of the PR.
• Modifications won't affect packages built in the future.

Pyarrow versions less than 15 result in an AttributeError when used with nightly builds of Pandas (>=3) due to breaking API changes in Pandas. Therefore, constrain the Pandas version to less than 3 if the Pyarrow version is less than 15.

Truncated Diff

================================================================================
================================================================================
linux-armv7l
================================================================================
================================================================================
win-32
================================================================================
================================================================================
linux-ppc64le
linux-ppc64le::pyarrow-9.0.0-py38he0fac02_20_cpu.conda
linux-ppc64le::pyarrow-7.0.1-py39h94ecd86_9_cpu.conda
linux-ppc64le::pyarrow-9.0.0-py37hd03c997_3_cpu.tar.bz2
linux-ppc64le::pyarrow-10.0.1-py311h110cb30_2_cpu.conda
linux-ppc64le::pyarrow-8.0.1-py311h6b34d11_9_cpu.conda
linux-ppc64le::pyarrow-4.0.1-py36h3116691_1_cpu.tar.bz2
...
linux-ppc64le::pyarrow-5.0.0-py37hb6b31ed_20_cpu.tar.bz2
linux-ppc64le::pyarrow-8.0.0-py37h21d0d79_5_cpu.tar.bz2
linux-ppc64le::pyarrow-9.0.0-py310h238a9ca_0_cpu.tar.bz2
linux-ppc64le::pyarrow-5.0.0-py39hb52c91f_24_cpu.tar.bz2
linux-ppc64le::pyarrow-2.0.0-py36haddd0e6_15_cpu.tar.bz2
linux-ppc64le::pyarrow-6.0.2-py310hf2bc192_10_cpu.conda
-    "arrow-cpp-proc * cpu"
+    "arrow-cpp-proc * cpu",
+    "pandas <=3.0a0"
linux-ppc64le::pyarrow-13.0.0-py311h46976fe_26_cpu.conda
linux-ppc64le::pyarrow-10.0.1-py39hb616d87_10_cpu.conda
linux-ppc64le::pyarrow-13.0.0-py310hc9c6eef_36_cpu.conda
linux-ppc64le::pyarrow-14.0.1-py312h3857850_6_cpu.conda
linux-ppc64le::pyarrow-12.0.1-py311h46976fe_28_cpu.conda
linux-ppc64le::pyarrow-12.0.0-py39h77ce42a_9_cpu.conda
...
linux-ppc64le::pyarrow-11.0.0-py311h20fc1d9_5_cpu.conda
linux-ppc64le::pyarrow-11.0.0-py311h1766948_33_cpu.conda
linux-ppc64le::pyarrow-11.0.0-py310h2963970_35_cpu.conda
linux-ppc64le::pyarrow-10.0.1-py39he530297_54_cpu.conda
linux-ppc64le::pyarrow-13.0.0-py311h46976fe_23_cpu.conda
linux-ppc64le::pyarrow-14.0.2-py312h3857850_14_cpu.conda
-    "apache-arrow-proc =*=cpu"
+    "apache-arrow-proc =*=cpu",
+    "pandas <=3.0a0"
linux-ppc64le::pyarrow-13.0.0-py39h0f5f8b4_2_cuda.conda
linux-ppc64le::pyarrow-12.0.1-py310h1de5443_29_cuda.conda
linux-ppc64le::pyarrow-14.0.2-py310h1de5443_13_cuda.conda
linux-ppc64le::pyarrow-11.0.0-py311hea17996_25_cuda.conda
linux-ppc64le::pyarrow-12.0.1-py38h5eba8ac_25_cuda.conda
linux-ppc64le::pyarrow-14.0.2-py39h0f5f8b4_4_cuda.conda
...
linux-ppc64le::pyarrow-10.0.1-py39h21403ed_31_cuda.conda
linux-ppc64le::pyarrow-12.0.1-py38h5eba8ac_11_cuda.conda
linux-ppc64le::pyarrow-14.0.2-py310h8e09eba_15_cuda.conda
linux-ppc64le::pyarrow-13.0.0-py312h82651ec_6_cuda.conda
linux-ppc64le::pyarrow-12.0.1-py310h1de5443_22_cuda.conda
linux-ppc64le::pyarrow-11.0.0-py310h3af8752_53_cuda.conda
-    "apache-arrow-proc =*=cuda"
+    "apache-arrow-proc =*=cuda",
+    "pandas <=3.0a0"
linux-ppc64le::pyarrow-10.0.1-py39h0b23868_20_cuda.conda
linux-ppc64le::pyarrow-11.0.0-py311h6081924_22_cuda.conda
linux-ppc64le::pyarrow-12.0.0-py311h6081924_5_cuda.conda
linux-ppc64le::pyarrow-10.0.1-py39h0b23868_26_cuda.conda
linux-ppc64le::pyarrow-12.0.0-py38h229a820_5_cuda.conda
linux-ppc64le::pyarrow-10.0.1-py38h229a820_25_cuda.conda
...
linux-ppc64le::pyarrow-11.0.0-py310ha6ff464_20_cuda.conda
linux-ppc64le::pyarrow-11.0.0-py39h0b23868_22_cuda.conda
linux-ppc64le::pyarrow-12.0.0-py310ha6ff464_3_cuda.conda
linux-ppc64le::pyarrow-11.0.0-py38h229a820_19_cuda.conda
linux-ppc64le::pyarrow-11.0.0-py39h0b23868_15_cuda.conda
linux-ppc64le::pyarrow-12.0.0-py310ha6ff464_1_cuda.conda
-    "cudatoolkit >=11.2"
+    "cudatoolkit >=11.2",
+    "pandas <=3.0a0"
linux-ppc64le::pyarrow-8.0.1-py39h21403ed_32_cuda.conda
linux-ppc64le::pyarrow-8.0.1-py310h931fa56_29_cuda.conda
linux-ppc64le::pyarrow-9.0.0-py310h931fa56_35_cuda.conda
linux-ppc64le::pyarrow-8.0.1-py38h8df29e1_30_cuda.conda
linux-ppc64le::pyarrow-8.0.1-py39h21403ed_30_cuda.conda
linux-ppc64le::pyarrow-9.0.0-py39h21403ed_33_cuda.conda
....
linux-ppc64le::pyarrow-9.0.0-py38h8df29e1_37_cuda.conda
linux-ppc64le::pyarrow-9.0.0-py38h8df29e1_36_cuda.conda
linux-ppc64le::pyarrow-8.0.1-py38h8df29e1_29_cuda.conda
linux-ppc64le::pyarrow-8.0.1-py311hea17996_29_cuda.conda
linux-ppc64le::pyarrow-8.0.1-py39h21403ed_28_cuda.conda
linux-ppc64le::pyarrow-9.0.0-py311hea17996_30_cuda.conda
-    "cudatoolkit >=9.2"
+    "cudatoolkit >=9.2",
+    "pandas <=3.0a0"
linux-ppc64le::pyarrow-9.0.0-py39hf3851f2_43_cuda.conda
linux-ppc64le::pyarrow-9.0.0-py311h2309e8e_41_cuda.conda
linux-ppc64le::pyarrow-9.0.0-py39h27ccb0d_48_cuda.conda
linux-ppc64le::pyarrow-9.0.0-py310habd7bc9_49_cuda.conda
linux-ppc64le::pyarrow-9.0.0-py310ha6ff464_38_cuda.conda
linux-ppc64le::pyarrow-9.0.0-py39h27ccb0d_49_cuda.conda
...
linux-ppc64le::pyarrow-9.0.0-py310h821f309_43_cuda.conda
linux-ppc64le::pyarrow-9.0.0-py310habd7bc9_47_cuda.conda
linux-ppc64le::pyarrow-9.0.0-py310habd7bc9_46_cuda.conda
linux-ppc64le::pyarrow-9.0.0-py310ha6ff464_39_cuda.conda
linux-ppc64le::pyarrow-9.0.0-py310ha6ff464_40_cuda.conda
linux-ppc64le::pyarrow-9.0.0-py310habd7bc9_48_cuda.conda
-    "arrow-cpp-proc * cuda"
+    "arrow-cpp-proc * cuda",
+    "pandas <=3.0a0"
================================================================================
================================================================================
osx-arm64
osx-arm64::pyarrow-4.0.1-py38h5211c98_2_cpu.tar.bz2
osx-arm64::pyarrow-8.0.1-py310h0245298_1_cpu.tar.bz2
osx-arm64::pyarrow-5.0.0-py39hf38fad5_27_cpu.tar.bz2
osx-arm64::pyarrow-2.0.0-py39h6134bab_43_cpu.tar.bz2
osx-arm64::pyarrow-4.0.0-py38h5211c98_0_cpu.tar.bz2
osx-arm64::pyarrow-3.0.0-py310ha09ee0b_41_cpu.tar.bz2
...
osx-arm64::pyarrow-1.0.1-py39h34f1c6d_34_cpu.tar.bz2
osx-arm64::pyarrow-9.0.0-py310ha7868e4_16_cpu.conda
osx-arm64::pyarrow-2.0.0-py38h5211c98_49_cpu.tar.bz2
osx-arm64::pyarrow-4.0.1-py38h70b91dd_21_cpu.tar.bz2
osx-arm64::pyarrow-3.0.0-py39h6134bab_17_cpu.tar.bz2
osx-arm64::pyarrow-4.0.1-py310ha09ee0b_15_cpu.tar.bz2
-    "arrow-cpp-proc * cpu"
+    "arrow-cpp-proc * cpu",
+    "pandas <=3.0a0"
osx-arm64::pyarrow-10.0.1-py310h0b8b8ad_52_cpu.conda
osx-arm64::pyarrow-11.0.0-py310h89f3c6b_7_cpu.conda
osx-arm64::pyarrow-14.0.1-py311h637fcfe_5_cpu.conda
osx-arm64::pyarrow-11.0.0-py310h81ca4bb_60_cpu.conda
osx-arm64::pyarrow-10.0.1-py311h1e679ab_43_cpu.conda
osx-arm64::pyarrow-11.0.0-py38h32b283d_3_cpu.conda
...
osx-arm64::pyarrow-12.0.0-py310h7c67832_7_cpu.conda
osx-arm64::pyarrow-13.0.0-py39h5c469ea_18_cpu.conda
osx-arm64::pyarrow-11.0.0-py311h1e679ab_5_cpu.conda
osx-arm64::pyarrow-12.0.1-py311hd7bc329_39_cpu.conda
osx-arm64::pyarrow-14.0.2-py38h9b35334_4_cpu.conda
osx-arm64::pyarrow-13.0.0-py310h382c99a_11_cpu.conda
-    "apache-arrow-proc =*=cpu"
+    "apache-arrow-proc =*=cpu",
+    "pandas <=3.0a0"
================================================================================
================================================================================
linux-aarch64
linux-aarch64::pyarrow-1.0.0-py37h1234567_0_cpu.tar.bz2
linux-aarch64::pyarrow-8.0.1-py38h041a4aa_0_cpu.tar.bz2
linux-aarch64::pyarrow-8.0.0-py39h8bbe643_5_cpu.tar.bz2
linux-aarch64::pyarrow-1.0.1-py36h12baec4_21_cpu.tar.bz2
linux-aarch64::pyarrow-4.0.1-py310h7069a9b_39_cpu.tar.bz2
linux-aarch64::pyarrow-3.0.0-py38hcdabd02_10_cpu.tar.bz2
...
linux-aarch64::pyarrow-4.0.1-py310h7069a9b_34_cpu.tar.bz2
linux-aarch64::pyarrow-6.0.2-py310h7069a9b_0_cpu.tar.bz2
linux-aarch64::pyarrow-9.0.0-py310h8863885_43_cpu.conda
linux-aarch64::pyarrow-9.0.0-py39h8bbe643_4_cpu.tar.bz2
linux-aarch64::pyarrow-7.0.0-py37h1226ab9_1_cpu.tar.bz2
linux-aarch64::pyarrow-7.0.1-py39h3492c65_1_cpu.tar.bz2
-    "arrow-cpp-proc * cpu"
+    "arrow-cpp-proc * cpu",
+    "pandas <=3.0a0"
linux-aarch64::pyarrow-8.0.1-py39h4143748_10_cuda.conda
linux-aarch64::pyarrow-9.0.0-py311h5a6c78d_30_cuda.conda
linux-aarch64::pyarrow-8.0.1-py311h4530746_6_cuda.tar.bz2
linux-aarch64::pyarrow-8.0.1-py39h26a20fa_32_cuda.conda
linux-aarch64::pyarrow-9.0.0-py310h9320987_6_cuda.tar.bz2
linux-aarch64::pyarrow-9.0.0-py39h4143748_10_cuda.tar.bz2
...
linux-aarch64::pyarrow-8.0.1-py39h9b88bff_13_cuda.conda
linux-aarch64::pyarrow-9.0.0-py311hf9353b8_29_cuda.conda
linux-aarch64::pyarrow-8.0.1-py38he02afc8_21_cuda.conda
linux-aarch64::pyarrow-8.0.1-py39h6ddc3c5_2_cuda.tar.bz2
linux-aarch64::pyarrow-9.0.0-py39h26a20fa_32_cuda.conda
linux-aarch64::pyarrow-9.0.0-py310h0396218_31_cuda.conda
-    "cudatoolkit >=9.2"
+    "cudatoolkit >=9.2",
+    "pandas <=3.0a0"
linux-aarch64::pyarrow-12.0.1-py38hb94d653_15_cuda.conda
linux-aarch64::pyarrow-14.0.2-py311hf1c3740_18_cuda.conda
linux-aarch64::pyarrow-11.0.0-py310h0396218_31_cuda.conda
linux-aarch64::pyarrow-11.0.0-py39hb8e6044_58_cuda.conda
linux-aarch64::pyarrow-12.0.1-py39h2f3c2ee_49_cuda.conda
linux-aarch64::pyarrow-12.0.0-py39h26a20fa_7_cuda.conda
...
linux-aarch64::pyarrow-10.0.1-py310he473b3b_44_cuda.conda
linux-aarch64::pyarrow-14.0.2-py310h160d57a_4_cuda.conda
linux-aarch64::pyarrow-12.0.1-py38hb94d653_27_cuda.conda
linux-aarch64::pyarrow-11.0.0-py38h27dc867_58_cuda.conda
linux-aarch64::pyarrow-11.0.0-py310he473b3b_46_cuda.conda
linux-aarch64::pyarrow-12.0.1-py38hb94d653_14_cuda.conda
-    "apache-arrow-proc =*=cuda"
+    "apache-arrow-proc =*=cuda",
+    "pandas <=3.0a0"
linux-aarch64::pyarrow-13.0.0-py38hd10887b_23_cpu.conda
linux-aarch64::pyarrow-14.0.2-py310h24fdedf_6_cpu.conda
linux-aarch64::pyarrow-10.0.1-py311h0ce3e70_12_cpu.conda
linux-aarch64::pyarrow-12.0.1-py39h87ec4b3_7_cpu.conda
linux-aarch64::pyarrow-11.0.0-py38hc785236_32_cpu.conda
linux-aarch64::pyarrow-11.0.0-py311h4ee07ce_44_cpu.conda
...
linux-aarch64::pyarrow-11.0.0-py39he66044c_19_cpu.conda
linux-aarch64::pyarrow-12.0.1-py39h17b0f66_48_cpu.conda
linux-aarch64::pyarrow-12.0.1-py310h24fdedf_41_cpu.conda
linux-aarch64::pyarrow-12.0.1-py311h1eb6f34_14_cpu.conda
linux-aarch64::pyarrow-11.0.0-py39h943591f_42_cpu.conda
linux-aarch64::pyarrow-12.0.1-py39h7536f14_31_cpu.conda
-    "apache-arrow-proc =*=cpu"
+    "apache-arrow-proc =*=cpu",
+    "pandas <=3.0a0"
linux-aarch64::pyarrow-11.0.0-py310h7806b68_23_cuda.conda
linux-aarch64::pyarrow-12.0.0-py38h220f70f_3_cuda.conda
linux-aarch64::pyarrow-11.0.0-py310h7806b68_17_cuda.conda
linux-aarch64::pyarrow-10.0.1-py39h93b3403_27_cuda.conda
linux-aarch64::pyarrow-11.0.0-py38h220f70f_15_cuda.conda
linux-aarch64::pyarrow-11.0.0-py38h220f70f_23_cuda.conda
...
linux-aarch64::pyarrow-11.0.0-py310h7806b68_16_cuda.conda
linux-aarch64::pyarrow-10.0.1-py38h220f70f_21_cuda.conda
linux-aarch64::pyarrow-12.0.0-py39h93b3403_0_cuda.conda
linux-aarch64::pyarrow-10.0.1-py38h220f70f_23_cuda.conda
linux-aarch64::pyarrow-12.0.0-py310h7806b68_0_cuda.conda
linux-aarch64::pyarrow-9.0.0-py39ha02d4d0_14_cuda.conda
-    "cudatoolkit >=11.2"
+    "cudatoolkit >=11.2",
+    "pandas <=3.0a0"
linux-aarch64::pyarrow-9.0.0-py311h54dbafa_48_cuda.conda
linux-aarch64::pyarrow-9.0.0-py311h54dbafa_45_cuda.conda
linux-aarch64::pyarrow-9.0.0-py311h54dbafa_46_cuda.conda
linux-aarch64::pyarrow-9.0.0-py38hd9649f6_47_cuda.conda
linux-aarch64::pyarrow-9.0.0-py38h1e70753_42_cuda.conda
linux-aarch64::pyarrow-9.0.0-py311h54dbafa_41_cuda.conda
...
linux-aarch64::pyarrow-9.0.0-py311h54dbafa_47_cuda.conda
linux-aarch64::pyarrow-9.0.0-py310haf2d573_41_cuda.conda
linux-aarch64::pyarrow-9.0.0-py311h688dd4d_38_cuda.conda
linux-aarch64::pyarrow-9.0.0-py310h7806b68_38_cuda.conda
-    "arrow-cpp-proc * cuda"
+    "arrow-cpp-proc * cuda",
+    "pandas <=3.0a0"
================================================================================
================================================================================
noarch
================================================================================
================================================================================
win-64
win-64::pyarrow-0.16.0-py37h803c963_0.tar.bz2
win-64::pyarrow-0.9.0-py36_vc14_0.tar.bz2
win-64::pyarrow-0.4.0-np112py35_vc14_0.tar.bz2
win-64::pyarrow-0.11.1-py37h6538335_1000.tar.bz2
win-64::pyarrow-0.13.0-py36h8c67754_0.tar.bz2
win-64::pyarrow-0.3.0-np112py35_vc14_1.tar.bz2
...
win-64::pyarrow-0.14.1-py36h803c963_2.tar.bz2
win-64::pyarrow-0.4.1-np111py35_vc14_0.tar.bz2
win-64::pyarrow-0.10.0-py35h6538335_0.tar.bz2
win-64::pyarrow-0.5.0.pre-np111py36_vc14_2.tar.bz2
win-64::pyarrow-0.7.0-np113py35_vc14_0.tar.bz2
win-64::pyarrow-0.16.0-py37hecaa37c_2.tar.bz2
+    "pandas <=3.0a0",
win-64::pyarrow-8.0.1-py310he420982_3_cpu.tar.bz2
win-64::pyarrow-5.0.0-py38h9f6c39d_8_cpu.tar.bz2
win-64::pyarrow-1.0.1-py38ha37a76c_33_cpu.tar.bz2
win-64::pyarrow-7.0.1-py311h6a6099b_18_cpu.conda
win-64::pyarrow-8.0.1-py310hd1a9178_21_cpu.conda
win-64::pyarrow-6.0.0-py39ha05331a_5_cpu.tar.bz2
...
win-64::pyarrow-5.0.0-py37he890847_2_cpu.tar.bz2
win-64::pyarrow-1.0.1-py37h633fffd_23_cpu.tar.bz2
win-64::pyarrow-10.0.1-py311h9a65766_2_cpu.conda
win-64::pyarrow-2.0.0-py36haef91ac_40_cpu.tar.bz2
-    "arrow-cpp-proc * cpu"
+    "arrow-cpp-proc * cpu",
+    "pandas <=3.0a0"
win-64::pyarrow-8.0.0-py310h89c6247_0_cuda.tar.bz2
win-64::pyarrow-4.0.1-py38hb3e32ac_35_cuda.tar.bz2
win-64::pyarrow-2.0.0-py39h7aa2843_29_cuda.tar.bz2
win-64::pyarrow-7.0.1-py311h7fe3beb_8_cuda.tar.bz2
win-64::pyarrow-9.0.0-py39hee4bd26_20_cuda.conda
win-64::pyarrow-3.0.0-py39h82ae67f_47_cuda.tar.bz2
...
win-64::pyarrow-9.0.0-py311h798af25_31_cuda.conda
win-64::pyarrow-5.0.0-py39h7aa2843_6_cuda.tar.bz2
win-64::pyarrow-8.0.0-py37hd153e35_2_cuda.tar.bz2
win-64::pyarrow-6.0.1-py37hd153e35_14_cuda.tar.bz2
win-64::pyarrow-1.0.1-py37h346aa0e_29_cuda.tar.bz2
win-64::pyarrow-2.0.0-py39h7aa2843_41_cuda.tar.bz2
-    "cudatoolkit >=9.2"
+    "cudatoolkit >=9.2",
+    "pandas <=3.0a0"
win-64::pyarrow-12.0.1-py39h6259327_6_cuda.conda
win-64::pyarrow-13.0.0-py38h4f4cb5d_11_cuda.conda
win-64::pyarrow-13.0.0-py311h9957787_28_cuda.conda
win-64::pyarrow-14.0.2-py39h97a79eb_13_cuda.conda
win-64::pyarrow-13.0.0-py38h4f4cb5d_14_cuda.conda
win-64::pyarrow-11.0.0-py38h4f4cb5d_36_cuda.conda
...
win-64::pyarrow-12.0.1-py311h9957787_14_cuda.conda
win-64::pyarrow-10.0.1-py311h798af25_30_cuda.conda
win-64::pyarrow-13.0.0-py310he25ef97_37_cuda.conda
win-64::pyarrow-12.0.1-py310hfa7f9ae_29_cuda.conda
win-64::pyarrow-11.0.0-py310hfa7f9ae_59_cuda.conda
win-64::pyarrow-14.0.2-py39h97a79eb_12_cuda.conda
-    "apache-arrow-proc =*=cuda"
+    "apache-arrow-proc =*=cuda",
+    "pandas <=3.0a0"
win-64::pyarrow-10.0.1-py310h7587e9d_0_cuda.conda
win-64::pyarrow-10.0.1-py39ha916568_4_cuda.conda
win-64::pyarrow-11.0.0-py311h87682fd_4_cuda.conda
win-64::pyarrow-8.0.1-py310h7587e9d_11_cuda.conda
win-64::pyarrow-8.0.1-py38hc31fb84_11_cuda.conda
win-64::pyarrow-11.0.0-py310hb5fce52_17_cuda.conda
...
win-64::pyarrow-11.0.0-py39h2a887cc_19_cuda.conda
win-64::pyarrow-10.0.1-py310hb5fce52_20_cuda.conda
win-64::pyarrow-12.0.0-py310hb5fce52_6_cuda.conda
win-64::pyarrow-11.0.0-py39h91da4d1_12_cuda.conda
win-64::pyarrow-11.0.0-py39h91da4d1_6_cuda.conda
win-64::pyarrow-10.0.1-py311h87682fd_20_cuda.conda
-    "cudatoolkit >=10.2"
+    "cudatoolkit >=10.2",
+    "pandas <=3.0a0"
win-64::pyarrow-12.0.0-py39hca4e8af_7_cpu.conda
win-64::pyarrow-12.0.1-py39hca4e8af_8_cpu.conda
win-64::pyarrow-10.0.1-py39hdb2b141_8_cpu.conda
win-64::pyarrow-11.0.0-py38hc72dcf3_11_cpu.conda
win-64::pyarrow-12.0.1-py38hd94c00f_13_cpu.conda
win-64::pyarrow-10.0.1-py311h6a6099b_22_cpu.conda
...
win-64::pyarrow-14.0.1-py311h6a6099b_3_cpu.conda
win-64::pyarrow-14.0.1-py311h6a6099b_1_cpu.conda
win-64::pyarrow-10.0.1-py311h6a6099b_21_cpu.conda
win-64::pyarrow-11.0.0-py311h6a6099b_30_cpu.conda
win-64::pyarrow-12.0.0-py39hca4e8af_4_cpu.conda
win-64::pyarrow-10.0.1-py39h0a09291_53_cpu.conda
-    "apache-arrow-proc =*=cpu"
+    "apache-arrow-proc =*=cpu",
+    "pandas <=3.0a0"
win-64::pyarrow-9.0.0-py310h9b49b9b_43_cuda.conda
win-64::pyarrow-9.0.0-py38hbc8d1eb_39_cuda.conda
win-64::pyarrow-9.0.0-py311h6ae23e8_42_cuda.conda
win-64::pyarrow-9.0.0-py310h0d05bb6_48_cuda.conda
win-64::pyarrow-9.0.0-py39hc3ca8bc_48_cuda.conda
win-64::pyarrow-9.0.0-py311h87682fd_38_cuda.conda
...
win-64::pyarrow-9.0.0-py310hb5fce52_39_cuda.conda
win-64::pyarrow-9.0.0-py310h9b49b9b_41_cuda.conda
win-64::pyarrow-9.0.0-py311h6ae23e8_41_cuda.conda
win-64::pyarrow-9.0.0-py310h0d05bb6_46_cuda.conda
-    "arrow-cpp-proc * cuda"
+    "arrow-cpp-proc * cuda",
+    "pandas <=3.0a0"
================================================================================
================================================================================
osx-64
osx-64::pyarrow-0.14.1-py36he1943e6_2.tar.bz2
osx-64::pyarrow-0.5.0-np111py36_0.tar.bz2
osx-64::pyarrow-0.11.1-py36hf9e6f3b_1001.tar.bz2
osx-64::pyarrow-0.11.1-py37h6aac852_1.tar.bz2
osx-64::pyarrow-0.5.0.pre-np111py27_2.tar.bz2
osx-64::pyarrow-0.15.0-py36hdca360a_1.tar.bz2
...
osx-64::pyarrow-0.16.0-py27hdca360a_0.tar.bz2
osx-64::pyarrow-0.16.0-py36hdca360a_1.tar.bz2
osx-64::pyarrow-0.7.0-np111py27_0.tar.bz2
osx-64::pyarrow-0.5.0-np113py36_0.tar.bz2
osx-64::pyarrow-0.14.1-py27he1943e6_2.tar.bz2
osx-64::pyarrow-0.3.0-np111py36_1.tar.bz2
+    "pandas <=3.0a0",
osx-64::pyarrow-9.0.0-py38h046d60d_42_cpu.conda
osx-64::pyarrow-8.0.1-py310h07d8dfd_1_cpu.tar.bz2
osx-64::pyarrow-1.0.0-py37h1234567_0_cpu.tar.bz2
osx-64::pyarrow-9.0.0-py311hb17b21d_32_cpu.conda
osx-64::pyarrow-9.0.0-py310hdf03ffa_14_cpu.conda
osx-64::pyarrow-9.0.0-py310h55878b0_11_cpu.conda
...
osx-64::pyarrow-1.0.1-py37h8f34200_44_cpu.tar.bz2
osx-64::pyarrow-6.0.2-py310h55878b0_7_cpu.conda
osx-64::pyarrow-6.0.1-py38h2688f9d_1_cpu.tar.bz2
osx-64::pyarrow-4.0.1-py37hd1ae41a_14_cpu.tar.bz2
-    "arrow-cpp-proc * cpu"
+    "arrow-cpp-proc * cpu",
+    "pandas <=3.0a0"
osx-64::pyarrow-11.0.0-py310h062e888_19_cpu.conda
osx-64::pyarrow-12.0.1-py311h05d2ada_47_cpu.conda
osx-64::pyarrow-11.0.0-py310hdc72e1d_49_cpu.conda
osx-64::pyarrow-11.0.0-py39h105b94d_15_cpu.conda
osx-64::pyarrow-13.0.0-py39hb701f17_38_cpu.conda
osx-64::pyarrow-10.0.1-py39h56e7202_13_cpu.conda
...
osx-64::pyarrow-12.0.1-py38h906a081_35_cpu.conda
osx-64::pyarrow-10.0.1-py310h435aefc_18_cpu.conda
osx-64::pyarrow-10.0.1-py38h046d60d_29_cpu.conda
osx-64::pyarrow-10.0.1-py310h185c28e_52_cpu.conda
osx-64::pyarrow-10.0.1-py39haa70984_34_cpu.conda
osx-64::pyarrow-12.0.1-py39h8632116_33_cpu.conda
-    "apache-arrow-proc =*=cpu"
+    "apache-arrow-proc =*=cpu",
+    "pandas <=3.0a0"
================================================================================
================================================================================
linux-64
linux-64::pyarrow-0.5.0-np111py35_0.tar.bz2
linux-64::pyarrow-0.7.0-py35_1.tar.bz2
linux-64::pyarrow-0.13.0-py37h8b68381_2.tar.bz2
linux-64::pyarrow-0.14.1-py37h8b68381_1.tar.bz2
linux-64::pyarrow-0.5.0.pre-np111py36_2.tar.bz2
linux-64::pyarrow-0.14.1-py37h8b68381_0.tar.bz2
...
linux-64::pyarrow-0.1.post-np111py34_3.tar.bz2
linux-64::pyarrow-0.16.0-py37h8b68381_0.tar.bz2
linux-64::pyarrow-0.4.1-np113py35_1.tar.bz2
linux-64::pyarrow-0.10.0-py36hfc679d8_0.tar.bz2
linux-64::pyarrow-0.15.1-py36h8b68381_0.tar.bz2
linux-64::pyarrow-0.7.0-np113py27_0.tar.bz2
+    "pandas <=3.0a0",
linux-64::pyarrow-3.0.0-py310hbc2c91e_54_cuda.tar.bz2
linux-64::pyarrow-2.0.0-py38hb234b80_3_cuda.tar.bz2
linux-64::pyarrow-1.0.1-py37h9267296_18_cuda.tar.bz2
linux-64::pyarrow-2.0.0-py38hb53058b_31_cuda.tar.bz2
linux-64::pyarrow-6.0.2-py311h87a187e_8_cuda.conda
linux-64::pyarrow-4.0.1-py37hb63ea2f_1_cuda.tar.bz2
...
linux-64::pyarrow-8.0.0-py38h17143e8_5_cuda.tar.bz2
linux-64::pyarrow-9.0.0-py38h83e2b15_9_cuda.tar.bz2
linux-64::pyarrow-2.0.0-py36ha2c856d_4_cuda.tar.bz2
linux-64::pyarrow-3.0.0-py38hb53058b_13_cuda.tar.bz2
linux-64::pyarrow-2.0.0-py310hc7f6a2d_53_cuda.tar.bz2
linux-64::pyarrow-3.0.0-py38hed47224_21_cuda.tar.bz2
-    "cudatoolkit >=9.2"
+    "cudatoolkit >=9.2",
+    "pandas <=3.0a0"
linux-64::pyarrow-6.0.2-py39h6267de0_4_cpu.tar.bz2
linux-64::pyarrow-4.0.1-py310h3a3dbb4_19_cpu.tar.bz2
linux-64::pyarrow-6.0.2-py39h6267de0_6_cpu.tar.bz2
linux-64::pyarrow-7.0.1-py310h225c066_5_cpu.tar.bz2
linux-64::pyarrow-3.0.0-py38he7e5f7d_44_cpu.tar.bz2
linux-64::pyarrow-8.0.1-py39hf0ef2fd_24_cpu.conda
...
linux-64::pyarrow-2.0.0-py37he2832ee_39_cpu.tar.bz2
linux-64::pyarrow-3.0.0-py37h6cfa6f4_50_cpu.tar.bz2
linux-64::pyarrow-7.0.1-py310h633f555_16_cpu.conda
linux-64::pyarrow-9.0.0-py37hc26cc24_2_cpu.tar.bz2
-    "arrow-cpp-proc * cpu"
+    "arrow-cpp-proc * cpu",
+    "pandas <=3.0a0"
linux-64::pyarrow-11.0.0-py310hd64ccbb_39_cuda.conda
linux-64::pyarrow-13.0.0-py310h9a2f4d7_28_cuda.conda
linux-64::pyarrow-14.0.2-py38h296dbf9_11_cuda.conda
linux-64::pyarrow-11.0.0-py39h2b56409_30_cuda.conda
linux-64::pyarrow-11.0.0-py39hd80f379_35_cuda.conda
linux-64::pyarrow-13.0.0-py311h225a1a7_35_cuda.conda
...
linux-64::pyarrow-12.0.1-py310h9a2f4d7_17_cuda.conda
linux-64::pyarrow-14.0.2-py312h25d8025_19_cuda.conda
linux-64::pyarrow-14.0.2-py39hf92f12d_19_cuda.conda
linux-64::pyarrow-13.0.0-py38h296dbf9_6_cuda.conda
linux-64::pyarrow-11.0.0-py38h8377b5b_29_cuda.conda
linux-64::pyarrow-14.0.2-py310h188ebfb_17_cuda.conda
-    "apache-arrow-proc =*=cuda"
+    "apache-arrow-proc =*=cuda",
+    "pandas <=3.0a0"
linux-64::pyarrow-13.0.0-py310hc7d9cee_34_cpu.conda
linux-64::pyarrow-14.0.2-py39h6925388_14_cpu.conda
linux-64::pyarrow-12.0.0-py310he6bfd7f_6_cpu.conda
linux-64::pyarrow-13.0.0-py310hf9e7431_6_cpu.conda
linux-64::pyarrow-13.0.0-py38h96a5bb7_21_cpu.conda
linux-64::pyarrow-14.0.2-py311h39c9aba_12_cpu.conda
...
linux-64::pyarrow-10.0.1-py38hf37be71_33_cpu.conda
linux-64::pyarrow-12.0.1-py310h0576679_3_cpu.conda
linux-64::pyarrow-10.0.1-py310h633f555_12_cpu.conda
linux-64::pyarrow-12.0.1-py311h78dcc79_46_cpu.conda
linux-64::pyarrow-13.0.0-py311h78dcc79_35_cpu.conda
linux-64::pyarrow-12.0.1-py39h6925388_36_cpu.conda
-    "apache-arrow-proc =*=cpu"
+    "apache-arrow-proc =*=cpu",
+    "pandas <=3.0a0"
linux-64::pyarrow-11.0.0-py311h3ce6b28_18_cuda.conda
linux-64::pyarrow-10.0.1-py38h1fd4ed9_3_cuda.conda
linux-64::pyarrow-10.0.1-py310hc81d9b2_15_cuda.conda
linux-64::pyarrow-10.0.1-py39h238905c_23_cuda.conda
linux-64::pyarrow-9.0.0-py39hd6b48ef_14_cuda.conda
linux-64::pyarrow-10.0.1-py311h3ce6b28_23_cuda.conda
...
linux-64::pyarrow-11.0.0-py311h3ce6b28_19_cuda.conda
linux-64::pyarrow-11.0.0-py39h238905c_20_cuda.conda
linux-64::pyarrow-11.0.0-py310hc81d9b2_14_cuda.conda
linux-64::pyarrow-11.0.0-py311h3ce6b28_22_cuda.conda
linux-64::pyarrow-10.0.1-py311h312983a_0_cuda.conda
linux-64::pyarrow-10.0.1-py38hc0a4389_3_cuda.conda
-    "cudatoolkit >=10.2"
+    "cudatoolkit >=10.2",
+    "pandas <=3.0a0"
linux-64::pyarrow-9.0.0-py311ha60322b_49_cuda.conda
linux-64::pyarrow-9.0.0-py39h57f256a_46_cuda.conda
linux-64::pyarrow-9.0.0-py311ha60322b_45_cuda.conda
linux-64::pyarrow-9.0.0-py38h3216606_47_cuda.conda
linux-64::pyarrow-9.0.0-py38h3216606_50_cuda.conda
linux-64::pyarrow-9.0.0-py39hd19b1c1_43_cuda.conda
...
linux-64::pyarrow-9.0.0-py311h3ce6b28_40_cuda.conda
linux-64::pyarrow-9.0.0-py311h3ce6b28_38_cuda.conda
linux-64::pyarrow-9.0.0-py38h4559c88_40_cuda.conda
linux-64::pyarrow-9.0.0-py39hd19b1c1_42_cuda.conda
-    "arrow-cpp-proc * cuda"
+    "arrow-cpp-proc * cuda",
+    "pandas <=3.0a0"

Full Diff (gist)

[conda-forge-webservices]

Hi! This is the friendly automated conda-forge-linting service.

I just wanted to let you know that I linted all conda-recipes in your PR (recipe) and found it was in an excellent condition.

[IzerOnadimQC]

Some questions:

• @xhochy Is this the correct way to add a constraint on an optional dependency?
  • Also, this leads to a pretty enormous repo data change. Is this an issue? I could probably make the diff smaller by only applying the change to more recent versions rather than all of them.
• @jorisvandenbossche do you agree that this constraint makes sense given: [Python] pandas internals: avoid using DatetimeTZBlock  apache/arrow#38341?

[jorisvandenbossche]

I would personally prefer to not add this version constraint, but rather ensure pandas does not yet remove that API (I added a comment about that in pandas-dev/pandas#58467 (comment)).

Of course that will still give you a warning when having this combination of pandas 3.0 with older pyarrow, which is maybe also something you want to avoid, but I would say that is then up to the user to decide if they want to ensure to use a more recent pyarrow version for that or not (the warning will also only be shown for specific cases, i.e. when having timezone aware timestamps)

[IzerOnadimQC]

@jorisvandenbossche Ok, I understand, thank you for pointing me to this.

In that case, I will hold off on this PR until a decision is made regarding which version of Pandas will remove the DatetimeTZBlock. Then I'll add a constraint for that version.

[xhochy]

In that case, I will hold off on this PR until a decision is made regarding which version of Pandas will remove the DatetimeTZBlock. Then I'll add a constraint for that version.

Marked as draft until then.

Otherwise, this PR looks good.

[hmaarrfk]

The missing context for was that pandas 3 is still unreleased as of May 19, 2024.
https://pandas.pydata.org/docs/dev/whatsnew/v3.0.0.html

As such, this can wait for a resolution upstream.