How to append Python dictionary to Pandas DataFrame, matching the key to the column name

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6 Answers

matchingpandaspythoncolumnappenddictionary
90%

left_on: Columns or index levels from the left DataFrame or Series to use as keys, Can either be column names, index level names, or arrays with length equal to the length of the DataFrame or Series

Example_snippet/controller/utility/_matching.js/ In [1]: df1 = pd.DataFrame({'A. . .
In[1]: df1 = pd.DataFrame({
         'A': ['A0', 'A1', 'A2', 'A3'],
         ...: 'B': ['B0', 'B1', 'B2', 'B3'],
         ...: 'C': ['C0', 'C1', 'C2', 'C3'],
         ...: 'D': ['D0', 'D1', 'D2', 'D3']
      },
      ...: index = [0, 1, 2, 3])
   ...:

   In[2]: df2 = pd.DataFrame({
         'A': ['A4', 'A5', 'A6', 'A7'],
         ...: 'B': ['B4', 'B5', 'B6', 'B7'],
         ...: 'C': ['C4', 'C5', 'C6', 'C7'],
         ...: 'D': ['D4', 'D5', 'D6', 'D7']
      },
      ...: index = [4, 5, 6, 7])
   ...:

   In[3]: df3 = pd.DataFrame({
         'A': ['A8', 'A9', 'A10', 'A11'],
         ...: 'B': ['B8', 'B9', 'B10', 'B11'],
         ...: 'C': ['C8', 'C9', 'C10', 'C11'],
         ...: 'D': ['D8', 'D9', 'D10', 'D11']
      },
      ...: index = [8, 9, 10, 11])
   ...:

   In[4]: frames = [df1, df2, df3]

In[5]: result = pd.concat(frames)
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88%

If you are using Python < 3,6 or pandas < 0

Example_snippet/controller/utility/_matching.js/ In [1]: import numpy as np In. . .
In[1]: import numpy as np

In[2]: import pandas as pd
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72%

Dictionary: Simply pass a dictionary who’s keys are the DataFrame columns you’re appending to, ignore_index must be true,Here, instead of a Series, I'll pass a python dictionary

Example_snippet/controller/utility/_matching.js/ 1. YourDataFrame.append(other=. . .
1. YourDataFrame.append(other = Data_You_Want_To_Append)
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65%

I have a requirement to create a dictionary within a loop and append them to a pandas data frame with matching key name of dict and column name of data frame, The key value pairs of dictionary in each iteration could be different

Example_snippet/controller/utility/_matching.js/ df_podcast=pd.DataFrame(column. . .
df_podcast = pd.DataFrame(columns = podcast_cols)

podcast_dict = {}
for j in range(len(podcast[0])):
   if podcast[0][j].tag == "key":
   podcast_dict[podcast[0][j].text] = podcast[0][j + 1].text
# # # Have to append dict to pandas df # # # # # # # # # # # #
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75%

Example_snippet/controller/utility/_pandas.js/ output = pd.DataFrame() output. . .
output = pd.DataFrame()
output = output.append(dictionary, ignore_index = True)
40%

Does this answer your question? append dictionary to data frame – 9769953 Apr 29 at 14:00 ,How do I loop over r1-5 and append them to the DataFrame like this?,Connect and share knowledge within a single location that is structured and easy to search,,If you want to append each row one by one, then you can do this

Example_snippet/controller/utility/_pandas.js/ df.loc[len(df)] = r1 df.loc[le. . .
df.loc[len(df)] = r1
df.loc[len(df)] = r2
df.loc[len(df)] = r3
df.loc[len(df)] = r4
df.loc[len(df)] = r5
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