def test_write_dataframe(df_client):
df1 = utils.random_dataframe()
df2 = utils.random_dataframe()
df2.columns = df1.columns
assert df_client.write(df1, measurement='m1', mytag='foo', tag_columns=['tag'])
assert df_client.write(df2, measurement='m2', mytag='foo', tag_columns=['tag'])
assert df_client.write(utils.random_dataframe(), measurement='m3') # tag-less
async def test_invalid_data_write_dataframe(client):
with pytest.raises(ValueError) as e:
# Non-DatetimeIndex DataFrame
await client.write(utils.random_dataframe().reset_index(), measurement='foo')
logger.error(e)
with pytest.raises(ValueError) as e:
# DataFrame write without specifying measurement
await client.write(utils.random_dataframe())
logger.error(e)
async def test_dataframe_chunked_query(client):
client.output = 'dataframe'
df1 = utils.random_dataframe()
await client.write(df1, measurement='m3')
cursor = await client.query('SELECT * FROM m3', chunked=True, chunk_size=10)
dfs = []
async for subdf in cursor:
assert isinstance(subdf, pd.DataFrame)
assert len(subdf) == 10
dfs.append(subdf)
df = pd.concat(dfs)
assert df.shape == (50, 7)
client.output = 'json'
