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# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
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import os
import shutil
import string
import tempfile
import unittest
import numpy as np
import pandas as pd
from distutils.version import LooseVersion
from pyspark import pandas as ps
from pyspark.testing.pandasutils import PandasOnSparkTestCase, TestUtils
from pyspark.testing.sqlutils import SQLTestUtils
class DataFrameConversionTest(PandasOnSparkTestCase, SQLTestUtils, TestUtils):
"""Test cases for "small data" conversion and I/O."""
def setUp(self):
self.tmp_dir = tempfile.mkdtemp(prefix=DataFrameConversionTest.__name__)
def tearDown(self):
shutil.rmtree(self.tmp_dir, ignore_errors=True)
@property
def pdf(self):
return pd.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6]}, index=[0, 1, 3])
@property
def psdf(self):
return ps.from_pandas(self.pdf)
@staticmethod
def strip_all_whitespace(str):
"""A helper function to remove all whitespace from a string."""
return str.translate({ord(c): None for c in string.whitespace})
def test_to_html(self):
expected = self.strip_all_whitespace(
"""
"""
)
got = self.strip_all_whitespace(self.psdf.to_html())
self.assert_eq(got, expected)
# with max_rows set
expected = self.strip_all_whitespace(
"""
"""
)
got = self.strip_all_whitespace(self.psdf.to_html(max_rows=2))
self.assert_eq(got, expected)
@staticmethod
def get_excel_dfs(pandas_on_spark_location, pandas_location):
return {
"got": pd.read_excel(pandas_on_spark_location, index_col=0),
"expected": pd.read_excel(pandas_location, index_col=0),
}
@unittest.skip("openpyxl")
def test_to_excel(self):
with self.temp_dir() as dirpath:
pandas_location = dirpath + "/" + "output1.xlsx"
pandas_on_spark_location = dirpath + "/" + "output2.xlsx"
pdf = self.pdf
psdf = self.psdf
psdf.to_excel(pandas_on_spark_location)
pdf.to_excel(pandas_location)
dataframes = self.get_excel_dfs(pandas_on_spark_location, pandas_location)
self.assert_eq(dataframes["got"], dataframes["expected"])
psdf.a.to_excel(pandas_on_spark_location)
pdf.a.to_excel(pandas_location)
dataframes = self.get_excel_dfs(pandas_on_spark_location, pandas_location)
self.assert_eq(dataframes["got"], dataframes["expected"])
pdf = pd.DataFrame({"a": [1, None, 3], "b": ["one", "two", None]}, index=[0, 1, 3])
psdf = ps.from_pandas(pdf)
psdf.to_excel(pandas_on_spark_location, na_rep="null")
pdf.to_excel(pandas_location, na_rep="null")
dataframes = self.get_excel_dfs(pandas_on_spark_location, pandas_location)
self.assert_eq(dataframes["got"], dataframes["expected"])
pdf = pd.DataFrame({"a": [1.0, 2.0, 3.0], "b": [4.0, 5.0, 6.0]}, index=[0, 1, 3])
psdf = ps.from_pandas(pdf)
psdf.to_excel(pandas_on_spark_location, float_format="%.1f")
pdf.to_excel(pandas_location, float_format="%.1f")
dataframes = self.get_excel_dfs(pandas_on_spark_location, pandas_location)
self.assert_eq(dataframes["got"], dataframes["expected"])
psdf.to_excel(pandas_on_spark_location, header=False)
pdf.to_excel(pandas_location, header=False)
dataframes = self.get_excel_dfs(pandas_on_spark_location, pandas_location)
self.assert_eq(dataframes["got"], dataframes["expected"])
psdf.to_excel(pandas_on_spark_location, index=False)
pdf.to_excel(pandas_location, index=False)
dataframes = self.get_excel_dfs(pandas_on_spark_location, pandas_location)
self.assert_eq(dataframes["got"], dataframes["expected"])
def test_to_json(self):
pdf = self.pdf
psdf = ps.from_pandas(pdf)
self.assert_eq(psdf.to_json(orient="records"), pdf.to_json(orient="records"))
def test_to_json_negative(self):
psdf = ps.from_pandas(self.pdf)
with self.assertRaises(NotImplementedError):
psdf.to_json(orient="table")
with self.assertRaises(NotImplementedError):
psdf.to_json(lines=False)
def test_read_json_negative(self):
with self.assertRaises(NotImplementedError):
ps.read_json("invalid", lines=False)
def test_to_json_with_path(self):
pdf = pd.DataFrame({"a": [1], "b": ["a"]})
psdf = ps.DataFrame(pdf)
psdf.to_json(self.tmp_dir, num_files=1)
expected = pdf.to_json(orient="records")
output_paths = [path for path in os.listdir(self.tmp_dir) if path.startswith("part-")]
assert len(output_paths) > 0
output_path = "%s/%s" % (self.tmp_dir, output_paths[0])
self.assertEqual("[%s]" % open(output_path).read().strip(), expected)
def test_to_json_with_partition_cols(self):
pdf = pd.DataFrame({"a": [1, 2, 3], "b": ["a", "b", "c"]})
psdf = ps.DataFrame(pdf)
psdf.to_json(self.tmp_dir, partition_cols="b", num_files=1)
partition_paths = [path for path in os.listdir(self.tmp_dir) if path.startswith("b=")]
assert len(partition_paths) > 0
for partition_path in partition_paths:
column, value = partition_path.split("=")
expected = pdf[pdf[column] == value].drop("b", axis=1).to_json(orient="records")
output_paths = [
path
for path in os.listdir("%s/%s" % (self.tmp_dir, partition_path))
if path.startswith("part-")
]
assert len(output_paths) > 0
output_path = "%s/%s/%s" % (self.tmp_dir, partition_path, output_paths[0])
with open(output_path) as f:
self.assertEqual("[%s]" % open(output_path).read().strip(), expected)
@unittest.skip("Pyperclip could not find a copy/paste mechanism for Linux.")
def test_to_clipboard(self):
pdf = self.pdf
psdf = self.psdf
self.assert_eq(psdf.to_clipboard(), pdf.to_clipboard())
self.assert_eq(psdf.to_clipboard(excel=False), pdf.to_clipboard(excel=False))
self.assert_eq(
psdf.to_clipboard(sep=";", index=False), pdf.to_clipboard(sep=";", index=False)
)
def test_to_latex(self):
pdf = self.pdf
psdf = self.psdf
self.assert_eq(psdf.to_latex(), pdf.to_latex())
self.assert_eq(psdf.to_latex(col_space=2), pdf.to_latex(col_space=2))
self.assert_eq(psdf.to_latex(header=True), pdf.to_latex(header=True))
self.assert_eq(psdf.to_latex(index=False), pdf.to_latex(index=False))
self.assert_eq(psdf.to_latex(na_rep="-"), pdf.to_latex(na_rep="-"))
self.assert_eq(psdf.to_latex(float_format="%.1f"), pdf.to_latex(float_format="%.1f"))
self.assert_eq(psdf.to_latex(sparsify=False), pdf.to_latex(sparsify=False))
self.assert_eq(psdf.to_latex(index_names=False), pdf.to_latex(index_names=False))
self.assert_eq(psdf.to_latex(bold_rows=True), pdf.to_latex(bold_rows=True))
self.assert_eq(psdf.to_latex(decimal=","), pdf.to_latex(decimal=","))
if LooseVersion(pd.__version__) < LooseVersion("1.0.0"):
self.assert_eq(psdf.to_latex(encoding="ascii"), pdf.to_latex(encoding="ascii"))
def test_to_records(self):
if LooseVersion(pd.__version__) >= LooseVersion("0.24.0"):
pdf = pd.DataFrame({"A": [1, 2], "B": [0.5, 0.75]}, index=["a", "b"])
psdf = ps.from_pandas(pdf)
self.assert_eq(psdf.to_records(), pdf.to_records())
self.assert_eq(psdf.to_records(index=False), pdf.to_records(index=False))
self.assert_eq(psdf.to_records(index_dtypes="