.

csv_data = pandas.read_csv("cas_sheet_copy3.csv")

col1_numpy = csv_data[["casNo"]].to_numpy()

col1_numpy_de1 = numpy.ravel(col1_numpy, order='C')

b = numpy.reshape(col1_numpy_de1[:10700], (20, 535))

csv_data.to_csv("annex6_table_rome.csv", index=False, encoding="utf8")

# cas 데이터 가져오기
csv_data = pandas.read_csv("cas_sheet_copy7.csv", encoding="utf8")

# numpy로 바꾸기
col1_numpy = csv_data[["casNo"]].to_numpy()

# 2차원 배열을 1차원 배열로 변환하기
col1_numpy_de1 = numpy.ravel(col1_numpy, order='C')

with open('cas_flip.csv', 'w', newline='', encoding="utf8") as f:
    write = csv.writer(f)
    write.writerow(["casNo"])
    write.writerows(numpy.flip(col1_numpy))

pandas.concat([sikyak_summary_list, sikdataList_new]).to_csv(
    "sikyak_summary_list_new.csv", index=False, encoding="utf8")

import pandas as pd

dataframe = pd.read_csv("suyeong_corona_20220930.csv")

dataframe.head()

dataframe[["date","case"]].plot.bar(x="date", y="case")

참고자료

http://bigdata.dongguk.ac.kr/lectures/Python/_book/pandas.html

https://doorbw.tistory.com/172