I am using the Coinmarketcap REST Api for having the latest cryptocurrency categories.
The code prints the JSON response into a DataFrame which is used for the transfer to excel (df.to_excel). Im using the "for column in df" for a bigger width in excel.
Now I would like to know how I can add costum column headings into the excel sheet.
def Cryptocurrencies():
url = 'https://pro-api.coinmarketcap.com/v1/cryptocurrency/categories'
parameters = {
}
headers = {
'Accept': 'application/json',
'X-CMC_PRO_API_KEY': 'mypersonalapikey',
}
session = Session()
session.headers.update(headers)
data = session.get(url, params=parameters)
response = session.get(url, params=parameters)
f = (json.loads(response.text)['data'])
df = pd.DataFrame(f)
writer = pd.ExcelWriter("Workingpaper1D.xlsx",
engine='xlsxwriter',
datetime_format='mmm d yyyy hh:mm:ss',
date_format='mmmm dd yyyy')
df.to_excel(writer, sheet_name='Sheet1',
startrow=1, header=False, index=False, )
(max_row, max_col) = df.shape
worksheet = writer.sheets['Sheet1']
worksheet.autofilter(0, 0, max_row, max_col - 1)
for column in df:
column_length = max(df[column].astype(str).map(len).max(), len(column))
col_idx = df.columns.get_loc(column)
writer.sheets['Sheet1'].set_column(col_idx, col_idx, column_length)
writer.save()
print(df)
return
You can set a custom header like this:
# Convert the dataframe to an XlsxWriter Excel object. Note that we turn off
# the default header and skip one row to allow us to insert a user defined
# header.
df.to_excel(writer, sheet_name='Sheet1', startrow=1, header=False)
# Get the xlsxwriter workbook and worksheet objects.
workbook = writer.book
worksheet = writer.sheets['Sheet1']
# Add a header format.
header_format = workbook.add_format({
'bold': True,
'text_wrap': True,
'valign': 'top',
'fg_color': '#D7E4BC',
'border': 1})
# Write the column headers with the defined format.
for col_num, value in enumerate(df.columns.values):
worksheet.write(0, col_num + 1, value, header_format)
See also this section of the XlsxWriter docs on Formatting of the Dataframe headers.