import pandas as pd


# trade_volume = [1100, 500, 4000, 2000, None]
# name = ['sad', 'asd ', 'fd s', 'sadf', 'safegew']
#
# dasdas = {'asd': 2000, 'a saf': 5788}
# pp = pd.Series(dasdas)
#
# buy_series_new = pd.Series(trade_volume, index=name).reindex(['sad', 'asd ', 'fd s', 'sadf', 'safegw'])
# print(buy_series_new.tail())

# a_balence = pd.Series([500, 400, 600], index=['aaa', 'bbb', 'ccc'])
# b_balence = pd.Series([520, 200, 300], index=['aaa', 'bbb', 'ccc'])
# c_balence = pd.Series([510, 210, 301], index=['aaa', 'bbb', 'ccc'])
#
# temp = {
#     'A': a_balence,
#     'B': b_balence,
#     'C': c_balence
# }
# df = pd.DataFrame(temp)
# print(df)
# print(df.iloc[:, 0])
# print(df.loc['aaa', 'A'])

# print(df)
#
#
# a = [200, 500, 1000]
# df.loc[:, 'D'] = a
# print(df)
# b = df.drop(columns=['D'])
# print(b)
# a = df.sort_values(by=['A'], ascending=False)
# print(a)