如何摆脱Pandas中的第二个索引列？ （蟒蛇）

Question

I'm trying to make a graph of pay against time. Here's what I've got:

 import pandas as pd import matplotlib.pyplot as plt df = pd.read_csv('Pay051118_1.csv') df.to_csv("Newcsv", columns = ['Dates worked', 'Pay']) df = pd.read_csv('Newcsv', parse_dates = True, index_col = 0) df = df.fillna(0) df = ((df[['Dates worked','Pay']])[df.Pay > 1]) print (df) df.plot() plt.show() 

Line 5 of the code got rid of one of the indexing columns for me. Without putting in the parse_dates and index_col parameter, I will get 2 columns of indexes. When I print (df), this is what I get:

  Dates worked Pay 0 Monday, 5 November 2018 44.5 2 Wednesday, 7 November 2018 44.5 3 Thursday, 8 November 2018 44.5 4 Friday, 9 November 2018 44.5 6 Sunday, 11 November 2018 50.5 7 Monday, 12 November 2018 62.0 8 Tuesday, 13 November 2018 38.5 9 Wednesday, 14 November 2018 65.5 10 Thursday, 15 November 2018 62.0 16 Wednesday, 21 November 2018 65.5 17 Thursday, 22 November 2018 62.0 18 Friday, 23 November 2018 65.5 20 Sunday, 25 November 2018 62.5 21 Monday, 26 November 2018 58.5 22 Tuesday, 27 November 2018 42.0 23 Wednesday, 28 November 2018 65.5 25 Friday, 30 November 2018 62.0 

As you can see, the indexing column is still there. How can I get rid of it?

Answer 1

在1以下使用。这将打印不希望看到的最左边的数字行。

print df.to_string(index=False)

Answer 2

Pandas数据框始终具有索引，但不是实列，如果要用简单的序号替换索引，请使用df.reset_index() 。

Answer 3

"""
Dates worked,Pay
Monday 5 November 2018,44.5
Wednesday 7 November 2018,44.5
Thursday 8 November 2018,44.5
Friday 9 November 2018,44.5
"""
import pandas as pd
pd.read_clipboard(sep=",").set_index("Dates worked")

If you don't want an auto-generated index, you'll need to set some other column as the index.