天真的问题：从所有四个不同的链接接收相同的数据

Question

import pandas as pd
df31_12_r1 = pd.read_html('https://www.nrc.gov/reading-rm/doc-collections/event-status/reactor-status/2004/20041231ps.html#r1')[0]

df31_12_r2 = pd.read_html('https://www.nrc.gov/reading-rm/doc-collections/event-status/reactor-status/2004/20041231ps.html#r2')[0]

df31_12_r3 = pd.read_html('https://www.nrc.gov/reading-rm/doc-collections/event-status/reactor-status/2004/20041231ps.html#r3')[0]

df31_12_r4 = pd.read_html('https://www.nrc.gov/reading-rm/doc-collections/event-status/reactor-status/2004/20041231ps.html#r4')[0]

The result displayed is the same from all the data frame, however it should be different: One result is displayed (other three are similar):

Unit    Power   Down    Reason or Comment   Change in report (*)    Number of Scrams (#)
0   Beaver Valley 1 100 NaN NaN NaN NaN
1   Beaver Valley 2 100 NaN NaN NaN NaN
2   Calvert Cliffs 1    100 NaN NaN NaN NaN
3   Calvert Cliffs 2    100 NaN NaN NaN NaN
4   FitzPatrick 100 NaN NaN NaN NaN
5   Ginna   100 NaN NaN NaN NaN
6   Hope Creek 1    0   10/10/2004  REFUELING OUTAGE    NaN NaN
7   Indian Point 2  100 NaN NaN NaN NaN
8   Indian Point 3  100 NaN NaN NaN NaN
9   Limerick 1  99  NaN REDUCED POWER DUE TO FEEDWATER FLOW CONCERNS    NaN NaN

How we can get exact data to each link instead, link pulling only top CSV file data from the webpage? Thank you in advance for help!

Answer 1

All tables are in one html page, so is possible create list of DataFrames dfs and then select by index:

url = 'https://www.nrc.gov/reading-rm/doc-collections/event-status/reactor-status/2004/20041231ps.html'
dfs = pd.read_html(url)


df1 = dfs[0]
df2 = dfs[1]
df3 = dfs[2]
df4 = dfs[3]

print (df1.head())
print (df2.head())
print (df3.head())
print (df4.head())

If need one DataFrame with join list of DataFrames dfs add concat :

url = 'https://www.nrc.gov/reading-rm/doc-collections/event-status/reactor-status/2004/20041231ps.html'
dfs = pd.read_html(url)

df = pd.concat(dfs, ignore_index=True)