matplotlib »ç¿ëmatplotlib ¶óÀ̺귯¸® ÆÐÅ°Áö´Â ±×·¡ÇÁ³ª Â÷Æ®¸¦ ±×·ÁÁÖ´Â ±â´ÉÀÌ ÀÖ´Ù.pandas ³»Àå ±×·¡ÇÁÀÇ ¿É¼ÇÀ» Ãß°¡ ÇÒ·Á¸é matplotlib ¶óÀ̺귯¸®¸¦ ÀÓÆ÷Æ® Çؼ »ç¿ëÇÏ¸é µÈ´Ù. matplotlib ¸í·É¿¡ ´ëÇؼ ¾Ë¾Æº¸ÀÚ. matplotlib »ç¿ëÇؼ ±×·¡ÇÁÀÇ Á¦¸ñ, x, yÃàÀÇ ¶óº§À» Ãß°¡ Çغ¸ÀÚ.import pandas as pd
import matplotlib.font_manager as fm import matplotlib.pyplot as plt path = 'c:/windows/fonts/malgun.ttf' font_family = fm.FontProperties(fname=path).get_name() plt.rc('font', family=font_family) data1 = [[10, 15, 100, 1], [100, 80, 10, 2], [80, 90, 95, 1], [50, 70, 88, 2]] df = pd.DataFrame(data1, index=['ö¼ö', '¿µÈñ', '±æµ¿', '¼øÈñ'], columns=['±¹¾î', '¿µ¾î', '¼öÇÐ', '¹Ý']) df = df.loc['ö¼ö', ['±¹¾î', '¿µ¾î', '¼öÇÐ']] plt.plot(df.index, df.values) plt.title('ö¼öÀÇ Á¡¼ö') plt.xlabel('°ú¸ñ') plt.ylabel('Á¡¼ö') plt.show() matpolotlib¸¦ »ç¿ëÇϱâ À§ÇØ ÀÓÆ÷Æ®ÇÑ´Ù. import matplotlib.pyplot as plt ö¼öÀÇ Á¡¼ö¸¸ °¡Á®¿Â´Ù. df = df.loc['ö¼ö', ['±¹¾î', '¿µ¾î', '¼öÇÐ']] ±×·¡ÇÁÀÇ Á¦¸ñÀ» Ç¥½ÃÇÑ´Ù. plt.title('ö¼öÀÇ Á¡¼ö') xÃà À̸§À» Ãß°¡ÇÑ´Ù. plt.xlabel('°ú¸ñ') yÃà À̸§À» Ãß°¡ÇÑ´Ù. plt.ylabel('Á¡¼ö') ±×·¡ÇÁ·Î Ãâ·ÂÇÑ´Ù. plt.show() °á°ú) ±×·¡ÇÁÀÇ »çÀÌÁ ÁöÁ¤ ÇÒ¼öµµ ÀÖ´Ù. °¡·Î 5ÀÎÄ¡, ¼¼·Î 3ÀÎÄ¡·Î ÁöÁ¤ÇÏ°í ÀÖ´Ù. plt.figure(figsize=(5, 3)) plot ÇÔ¼ö ÀÌÀü¿¡ ½ÇÇà µÇ¾î¾ß ÇÑ´Ù. µÎ»ç¶÷ÀÇ Á¡¼ö¸¦ ºñ±³ÇØ º¸ÀÚ 1.import pandas as pd
import matplotlib.font_manager as fm import matplotlib.pyplot as plt path = 'c:/windows/fonts/malgun.ttf' font_family = fm.FontProperties(fname=path).get_name() plt.rc('font', family=font_family) data1 = [[10, 15, 100, 1], [100, 80, 10, 2], [80, 90, 95, 1], [50, 70, 88, 2]] df = pd.DataFrame(data1, index=['ö¼ö', '¿µÈñ', '±æµ¿', '¼øÈñ'], columns=['±¹¾î', '¿µ¾î', '¼öÇÐ', '¹Ý']) print(df) plt.figure(figsize=(4, 3)) df1 = df.loc['ö¼ö', ['±¹¾î', '¿µ¾î', '¼öÇÐ']] df2 = df.loc['¿µÈñ', ['±¹¾î', '¿µ¾î', '¼öÇÐ']] df1.plot(color='red') df2.plot(color='blue') plt.legend() plt.ylabel('Á¡¼ö') plt.show() °á°ú) ±¹¾î ¿µ¾î ¼öÇÐ ¹Ý ö¼ö 10 15 100 1 ¿µÈñ 100 80 10 2 ±æµ¿ 80 90 95 1 ¼øÈñ 50 70 88 2 ·¹Àüµå(¹ü·Ê)¸¦ Ãâ·ÂÇÑ´Ù. plt.legend() ÃÖÀûÀÇ À§Ä¡¿¡ Ãâ·ÂÇÏ°í ½Í´Ù¸é best ¿É¼ÇÀ» ÁöÁ¤ÇÑ´Ù. plt.legend(loc='best') ±×·¡ÇÁ À̹ÌÁö·Î ÀúÀåimport pandas as pd
import matplotlib.font_manager as fm import matplotlib.pyplot as plt path = 'c:/windows/fonts/malgun.ttf' font_family = fm.FontProperties(fname=path).get_name() plt.rc('font', family=font_family) data1 = [[10, 15, 100, 1], [100, 80, 10, 2], [80, 90, 95, 1], [50, 70, 88, 2]] df = pd.DataFrame(data1, index=['ö¼ö', '¿µÈñ', '±æµ¿', '¼øÈñ'], columns=['±¹¾î', '¿µ¾î', '¼öÇÐ', '¹Ý']) df = df.loc['ö¼ö', ['±¹¾î', '¿µ¾î', '¼öÇÐ']] plt.figure(figsize=(4, 3)) plt.xticks(rotation='vertical') plt.plot(df.index, df.values) plt.title('ö¼öÀÇ Á¡¼ö') plt.xlabel('°ú¸ñ') plt.ylabel('Á¡¼ö') plt.savefig('output.png') µ¥ÀÌÅÍÇÁ·¹ÀÓ DataFrame.plot ÇÔ¼ö·Î ½ÇÇàÇÑ°Ç À̹ÌÁö·Î ÀúÀåÀÌ ¾ÈµÇ´Âµ¥, metplotlib·Î ÀúÀåÇÑ°Ç ÀúÀåÀÌ ÀߵȴÙ. ¸íÈ®ÇÑ ÀÌÀ¯´Â Àß ¸ð¸£°Ú´Ù. À̹ÌÁö¸¦ °¡·Î 4ÀÎÄ¡, ¼¼·Î 3ÀÎÄ¡ Å©±â·Î ÁöÁ¤ÇÑ´Ù. plt.figure(figsize=(4, 3)) xÃà À̸§À» ¼öÁ÷À¸·Î ȸÀüÇÑ´Ù. plt.xticks(rotation='vertical') µÎ»ç¶÷ÀÇ Á¡¼ö¸¦ ºñ±³ÇØ º¸ÀÚ 2.import pandas as pd
import matplotlib.font_manager as fm import matplotlib.pyplot as plt path = 'c:/windows/fonts/malgun.ttf' font_family = fm.FontProperties(fname=path).get_name() plt.rc('font', family=font_family) data1 = [[10, 15, 100, 1], [100, 80, 10, 2], [80, 90, 95, 1], [50, 70, 88, 2]] df = pd.DataFrame(data1, index=['ö¼ö', '¿µÈñ', '±æµ¿', '¼øÈñ'], columns=['±¹¾î', '¿µ¾î', '¼öÇÐ', '¹Ý']) df1 = df.loc['ö¼ö', ['±¹¾î', '¿µ¾î', '¼öÇÐ']] df2 = df.loc['¿µÈñ', ['±¹¾î', '¿µ¾î', '¼öÇÐ']] plt.figure(figsize=(5, 3)) plt.xticks(rotation='vertical') plt.plot(df1.index, df1.values, color='green') plt.plot(df2.index, df2.values, color='red') plt.title('ö¼öÀÇ Á¡¼ö') plt.xlabel('°ú¸ñ') plt.ylabel('Á¡¼ö') #plt.show() show ¸í·ÉÀÌ savfig ¾Õ¿¡ ¿À¸é À̹ÌÁö°¡ ÀúÀåÀÌ ¾ÈµÈ´Ù. plt.savefig('output.png') À̹ÌÁö¸¦ ÀúÀåÇÑ´Ù. plt.savefig() À̹ÌÁö´Â ´ÙÀ½ÀÇ Æú´õ ¾Æ·¡¿¡ ÀÖ´Ù. C:\Users\[À©µµ¿ì °èÁ¤ À̸§]\.spyder-py3 µÎ»ç¶÷ÀÇ Á¡¼ö¸¦ ºñ±³ÇÒ¶§´Â ¾Æ·¡¿Í °°ÀÌ ¸í·ÉÀ» ÁÖ¾ú´Ù. df1 = df.loc['ö¼ö', ['±¹¾î', '¿µ¾î', '¼öÇÐ']] df2 = df.loc['¿µÈñ', ['±¹¾î', '¿µ¾î', '¼öÇÐ']] plt.plot(df1.index, df1.values, color='green') plt.plot(df2.index, df2.values, color='red') óÀ½¿£ ÀÌ·¸°Ô 2»ç¶÷ÀÇ Á¡¼ö¸¦ ºñ±³ÇÒ·Á°í ÇßÁö¸¸ ¿øÇÏ´Â °á°ú°¡ ³ª¿ÀÁö ¾Ê´Â´Ù. À̹ÌÁö°¡ ¾Æ·¡Ã³·³ ³ª¿Â´Ù. df3 = df.loc[['ö¼ö', '¿µÈñ'], ['±¹¾î', '¿µ¾î', '¼öÇÐ']] plt.plot(df3.index, df3.values) ¹ü·Ê(·¹Àüµå) »ç¿ë¹ýimport pandas as pd
import matplotlib.font_manager as fm import matplotlib.pyplot as plt path = 'c:/windows/fonts/malgun.ttf' font_family = fm.FontProperties(fname=path).get_name() plt.rc('font', family=font_family) data1 = [[10, 15, 100, 1], [100, 80, 10, 2], [80, 90, 95, 1], [50, 70, 88, 2]] df = pd.DataFrame(data1, index=['ö¼ö', '¿µÈñ', '±æµ¿', '¼øÈñ'], columns=['±¹¾î', '¿µ¾î', '¼öÇÐ', '¹Ý']) df1 = df.loc['ö¼ö', ['±¹¾î', '¿µ¾î', '¼öÇÐ']] df2 = df.loc['¿µÈñ', ['±¹¾î', '¿µ¾î', '¼öÇÐ']] plt.figure(figsize=(5, 3)) plt.xticks(rotation='vertical') plt.plot(df1.index, df1.values, color='green', label='ö¼ö') plt.plot(df2.index, df2.values, color='red', label='¿µÈñ') plt.legend() plt.title('ö¼öÀÇ Á¡¼ö') plt.xlabel('°ú¸ñ') plt.ylabel('Á¡¼ö') plt.show() °á°ú) 1) plot¿¡¼ ¶óº§À» ¼³Á¤ plt.plot(df1.index, df1.values, color='green', label='ö¼ö') plt.plot(df2.index, df2.values, color='red', label='¿µÈñ') plt.legend() 2)legend¿¡¼ Ãß°¡Çϱâ line1, = plt.plot(df1.index, df1.values, color='green') line2, = plt.plot(df2.index, df2.values, color='red') plt.legend(handles=[line1, line2], labels=['ö¼ö', '¿µÈñ']) "," line1, line2 µÚ¿¡ ½°Ç¥´Â ¹«¾ùÀΰ¡ ¸Þ´º¾ó´ë·Î ½°Ç¥¸¦ ºÙ¿©Áà¾ß Á¦´ë·Î µ¿ÀÛÇÑ´Ù. ¸Þ´º¾ó ¸µÅ©´Â ´ÙÀ½°ú °°´Ù. https://matplotlib.org/3.3.1/tutorials/intermediate/legend_guide.html ½ºÅ¸ÀÏ ÁöÁ¤ import pandas as pd
import matplotlib.font_manager as fm import matplotlib.pyplot as plt path = 'c:/windows/fonts/malgun.ttf' font_family = fm.FontProperties(fname=path).get_name() plt.rc('font', family=font_family) data1 = [[10, 15, 100, 1], [100, 80, 10, 2], [80, 90, 95, 1], [50, 70, 88, 2]] df = pd.DataFrame(data1, index=['ö¼ö', '¿µÈñ', '±æµ¿', '¼øÈñ'], columns=['±¹¾î', '¿µ¾î', '¼öÇÐ', '¹Ý']) df1 = df.loc['ö¼ö', ['±¹¾î', '¿µ¾î', '¼öÇÐ']] df2 = df.loc['¿µÈñ', ['±¹¾î', '¿µ¾î', '¼öÇÐ']] plt.figure(figsize=(5, 3)) plt.xticks(rotation='vertical') print(plt.style.available) #plt.style.use('ggplot') plt.style.use('grayscale') plt.plot(df1.index, df1.values, color='green', label='ö¼ö') plt.plot(df2.index, df2.values, color='red', label='¿µÈñ') plt.legend() plt.title('ö¼öÀÇ Á¡¼ö') plt.xlabel('°ú¸ñ') plt.ylabel('Á¡¼ö') plt.show() °á°ú) ½ºÅ¸ÀÏ·Î ±×·¡ÇÁÀÇ ¸ð¾çÀ» ¹Ù²Ü¼ö ÀÖ´Ù. ½ºÅ¸ÀÏ ¸®½ºÆ®¸¦ Ãâ·ÂÇÑ´Ù. print(plt.style.available) ½ºÅ¸ÀÏÀ» ÁöÁ¤ÇÑ´Ù. plt.style.use('grayscale') Axes ¸Àº¸±âmatplotlib ±×·¡ÇÁ´Â Figure °´Ã¼¿Í Çϳª ÀÌ»óÀÇ subplot(Axes) °´Ã¼·Î ±¸¼º µÇ¾î ÀÖ´Ù.Figure ĵ¹ö½º ±â´ÉÀÌ°í Axes´Â ±×·¡ÇÁÀÇ ±â´ÉÀÌ´Ù. ¿©·¯°³ÀÇ ±×·¡ÇÁ¸¦ ¸¸µé·Á¸é Axes¸¦ ¿©·¯°³ ¸¸µç´Ù. axes´Â axisÀÇ º¹¼öÇüÀ¸·Î ±×·¡ÇÁÀÇ ÃàÀ» ¶æÇÑ´Ù. ȸ鿡 µÎ°³ÀÇ ±×·¡ÇÁ¸¦ ±×¸®°í ½Í´Ù¸é 2°³ÀÇ axes¸¦ ¸¸µå¸é µÈ´Ù. import pandas as pd
import matplotlib.font_manager as fm import matplotlib.pyplot as plt path = 'c:/windows/fonts/malgun.ttf' font_family = fm.FontProperties(fname=path).get_name() plt.rc('font', family=font_family) data1 = [[10, 15, 100, 1], [100, 80, 10, 2], [80, 90, 95, 1], [50, 70, 88, 2]] df = pd.DataFrame(data1, index=['ö¼ö', '¿µÈñ', '±æµ¿', '¼øÈñ'], columns=['±¹¾î', '¿µ¾î', '¼öÇÐ', '¹Ý']) df1 = df.loc['ö¼ö', ['±¹¾î', '¿µ¾î', '¼öÇÐ']] df2 = df.loc['¿µÈñ', ['±¹¾î', '¿µ¾î', '¼öÇÐ']] fig = plt.figure(figsize=(5, 3)) ax1 = fig.add_subplot(2, 1, 1) ax2 = fig.add_subplot(2, 1, 2) ax1.set_title('ö¼ö ¿µÈñ Á¡¼ö') #plt.style.use('ggplot') plt.style.use('grayscale') ax1.plot(df1, marker='o', markersize=5, color='green', label='ö¼ö') ax2.plot(df2, marker='o', markersize=5, color='red', label='¿µÈñ') ax1.legend(loc='best') ax2.legend(loc='best') plt.show() °á°ú) ¸ÕÀú figure ±¸ÇÑ´Ù. fig = plt.figure(figsize=(5, 3)) 2°³ÀÇ axex( = subplot )¸¦ ¸¸µç´Ù. ax1 = fig.add_subplot(2, 1, 1) ---> 2Çà 1¿ ù¹ø° ±×·¡ÇÁ ax2 = fig.add_subplot(2, 1, 2) ---> 2Çà 1¿ µÎ¹ø° ±×·¡ÇÁ ¼¼·Î·Î ³ª´«´Ù¸é ´ÙÀ½°ú °°ÀÌ ¼³Á¤ÇÑ´Ù. ax1 = fig.add_subplot(1, 2, 1) ax2 = fig.add_subplot(1, 2, 2) ±×·¡ÇÁ¸¦ ±×¸°´Ù. ax1.plot(df1, marker='o', markersize=5, color='green', label='ö¼ö') ax2.plot(df2, marker='o', markersize=5, color='red', label='¿µÈñ') matplotlib ¶óÀ̺귯¸® ÆÐÅ°Áö´Â ¿É¼ÇÀÌ ¸¹±â¶§¹®¿¡ ¿©±â±îÁö¸¸ ¾Ë¾Æº»´Ù. |