def test_prices_df(self, book_transactions):
df = book_transactions.prices_df().reset_index()
# remove guid columns as not comparable from run to run
for col in df.columns:
if "guid" in col:
del df[col]
# converte datetime to date as different tzone in CI environments
df["date"] = df["date"].dt.date
df_to_string = """ index date type value commodity.mnemonic currency.mnemonic
0 0 2015-10-31 transaction 0.627907 EUR USD
1 1 2015-10-29 transaction 30.833333 GnuCash Inc. EUR
2 2 2015-11-01 unknown 1.23 GnuCash Inc. USD
3 3 2015-11-02 unknown 2.34 GnuCash Inc. EUR
4 4 2015-11-04 unknown 1.27 GnuCash Inc. USD
5 5 2015-10-30 transaction 1.481481 USD EUR"""
assert df_to_string == df.to_string()
def test_prices_df(self, book_transactions):
df = book_transactions.prices_df().reset_index()
# remove guid columns as not comparable from run to run
for col in df.columns:
if "guid" in col:
del df[col]
# converte datetime to date as different tzone in CI environments
df["date"] = df["date"].dt.date
df_to_string = """ index date type value commodity.mnemonic currency.mnemonic
0 0 2015-10-31 transaction 0.627907 EUR USD
1 1 2015-10-29 transaction 30.833333 GnuCash Inc. EUR
2 2 2015-11-01 unknown 1.23 GnuCash Inc. USD
3 3 2015-11-02 unknown 2.34 GnuCash Inc. EUR
4 4 2015-11-04 unknown 1.27 GnuCash Inc. USD
5 5 2015-10-30 transaction 1.481481 USD EUR"""
assert df_to_string == df.to_string()