How to Change the DateТime Tick Frequency for Matplotlib x축이 날짜일 때 간격 설정 import matplotlib.pyplot as plt import seaborn as sns df = sns.load_dataset("taxis") 택시 데이터. 막간을 이용한 dt 접근자 팁 date time import matplotlib.dates as mdates fig, ax = plt.subplots() ax.plot('pickup', 'dropoff', data=df) ax.xaxis.set_major_locator(mdates.WeekdayLocator(interval=1)) ax.xaxis.set_major_formatter(mdates.DateFormat..
!pip install plotly html로 저장할 때 import plotly.express as px fig =px.scatter(x=range(10), y=range(10)) fig.write_html("file.html") sample data import pandas as pd d = {'month': [1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3], 'label': ['a', 'a', 'a', 'b', 'b', 'b', 'a', 'a', 'a', 'b', 'b', 'b'], 'value': [100, 105, 200, 205, 300, 100, 200, 105, 400, 705, 900, 1000], 'code': ['abc', 'abc', 'abc', 'abc', 'abc..
가장 먼저 시각화에 필요한 라이브러리를 불러옴. # matplot import matplotlib as mpl import matplotlib.pyplot as plt # seaborn import seaborn as sns # numpy와 pandas import numpy as np import pandas as pd matplot 버전확인 방법 print(mpl.__version__) 가장 기본적인 사용법 (plt.plot()) # sample data data_dict = {'x':[1, 2, 3, 4, 5], 'y':[6, 7, 8, 9, 10], 'y2':[1, 3, 5, 7, 9]} plt.plot(data_dict['y']) # y값 plt.plot(data_dict['x'], data_d..
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