def test_write_dataframe_with_nan(df_client):
df = utils.trading_df()
cols = [k for k, v in df.dtypes.items() if v.type != np.int64]
df_client.write(df, 'fills00')
for i in range(10):
for _ in range(int(len(df) / 5)): # noqa: F841
df.ix[np.random.randint(len(df)), np.random.choice(cols)] = np.nan
df_client.write(df, 'fills{:02d}'.format(i + 1))
def test_write_dataframe_with_nan(df_client):
df = utils.trading_df()
df_client.write(df, f'fills00')
for i in range(10):
for _ in range(int(len(df) / 5)):
i = np.random.randint(df.shape[0])
j = np.random.randint(df.shape[1])
df.iloc[i, j] = np.nan
df_client.write(df, f'fills{i+1:02d}')