如何从字典中导出具有特定列名的excel文件中的数据？

Question

I have made a dic like follow:

number_of_c_in_level_ = dict()

for x in range(1,50):
  number_of_c_in_level_[x]=x*2

How I can export those data in an excel file which has the column name as bellow

number_of_c_in_level_1  number_of_c_in_level_2  ...   number_of_c_in_level_50
2                        4                      ...         100

or, please see an exemplar final excel file here

Answer 1

You can make use of pandas module to create a DataFrame(similar to excel) as per your need.

DataFrame object in pandas module can accept dictionary object as an input and will convert into excel look a like structure. See the below demo for better understanding..

import pandas as pd # module required for the DataFrame operations

print(number_of_c_in_level_)

{1: 2, 2: 4, 3: 6, ...., 48: 96, 49: 98}

Before converting into DataFrame, change the dictionary key : values as required in the output.

Note: Dictionary values should be in the form of array(Lists) to get a expected DataFrame.

Req_Change = {"number_of_c_in_level_"+str(i):[j] for i,j in number_of_c_in_level_.items()}

The above code makes the required column name format and the values in the form of arrays.

print(Req_Change)

{'number_of_c_in_level_1': [2], .... , 'number_of_c_in_level_49': [98]}

Now we can convert this Dictionary into DataFrame with the below step,

Export = pd.DataFrame(df)

print(Export)

number_of_c_in_level_1  number_of_c_in_level_2  ... number_of_c_in_level_49
2                       4                                98

Finally lets Export the DataFrame into Excel / csv,

Note: To Export into Excel, you might need openpyxl module. So you can export into csv and change it into Excel format later

Export.to_excel("Export.xlsx",index=False)

Export.to_csv("Export.csv",index=False)

Answer 2

You can simply put the text in the key part of the dictionary, convert to a dataframe and then write it to CSV or Excel (I recommend CSV because it is a more universal format). Here is your code edited to the version:

import pandas as pd

number_of_c_in_level_ = dict()

for x in range(1,51):
  number_of_c_in_level_['number_of_c_in_level_' + str(x)] = 2*x

df = pd.DataFrame(number_of_c_in_level_, index=[0])
with open('result2.csv','w')  as csv_file:
    df.to_csv(csv_file,index=False)