Support python 3.11 and 3.12

.github/workflows/CI.yml

@@ -38,7 +38,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: ['3.6', '3.7', '3.8', '3.9', '3.10']
+        python-version: ['3.6', '3.7', '3.8', '3.9', '3.10', '3.11', '3.12']
 
     steps:
     - uses: actions/checkout@v2
@@ -73,13 +73,14 @@ jobs:
       fail-fast: false
       matrix:
         os: [ubuntu-latest, macos-latest, windows-latest]
+        python-version: ['3.6', '3.7', '3.8', '3.9', '3.10', '3.11', '3.12']
 
     steps:
     - uses: actions/checkout@v2
     - name: Set up Python 
       uses: actions/setup-python@v2
       with:
-        python-version: '3.x'
+        python-version: ${{ matrix.python-version }}
 
     - name: Install dependencies
       run: |

Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "qvd"
-version = "0.0.11"
+version = "0.0.14"
 authors = ["Sam Bentley <samtbentley@gmail.com>"]
 edition = "2018"
 readme = "README.md"
@@ -25,4 +25,4 @@ version = "0.12.3"
 features = ["extension-module"]
 
 [package.metadata.maturin]
-requires-dist = ["pandas~=1.1.4"]
+requires-dist = ["pandas>=1.1.4"]

qvd/test_qvd_reader.py

@@ -1,17 +1,16 @@
 from qvd import qvd_reader
+import os
 import pandas as pd
-import numpy
+import numpy as np
 
 
 class TestQvdReader():
     def test_read_shape(self):
-        qvd = qvd_reader.read('test_files/AAPL.qvd')
-        csv = pd.read_csv('test_files/AAPL.csv', float_precision='round_trip')
+        qvd = qvd_reader.read(f'{os.path.dirname(__file__)}/test_files/AAPL.qvd')
+        csv = pd.read_csv(f'{os.path.dirname(__file__)}/test_files/AAPL.csv', float_precision='round_trip')
         assert qvd.shape == csv.shape
 
     def test_read_size(self):
-        qvd = qvd_reader.read('test_files/AAPL.qvd')
-        csv = pd.read_csv('test_files/AAPL.csv', float_precision='round_trip')
-        print(qvd.columns)
-        print(csv.columns)
-        assert numpy.array_equal(qvd.columns, csv.columns)
+        qvd = qvd_reader.read(f'{os.path.dirname(__file__)}/test_files/AAPL.qvd')
+        csv = pd.read_csv(f'{os.path.dirname(__file__)}/test_files/AAPL.csv', float_precision='round_trip')
+        assert np.array_equal(np.sort(qvd.columns, axis=0), np.sort(csv.columns, axis=0))