鏃堕棿搴忓垪鐢辫〃绀烘椂闂寸殑x杞村拰琛ㄧず鏁版嵁鍊肩殑y杞寸粍鎴愩€備娇鐢ㄦ姌绾垮浘鏉ユ樉绀烘暟鎹殢鏃堕棿鐨勫彉鍖栨槸寰堝父瑙佺殑銆傚畠鍦ㄦ彁鍙栬秼鍔垮拰瀛ｈ妭鎬у奖鍝嶇瓑淇℃伅鏂归潰鏈変竴浜涘ソ澶勩€備絾鏄湪澶勭悊鏋侀暱鐨勬椂闂寸嚎鏃朵細鍑虹幇闂銆傝櫧鐒朵娇鐢ㄦ暟鎹彲瑙嗗寲宸ュ叿寰堝鏄撳皢闀挎椂闂村簭鍒楁暟鎹嫙鍚堝埌缁樺浘鍖哄煙锛屼絾缁撴灉鍙兘浼氬緢娣蜂贡銆傝鎴戜滑姣旇緝涓嬮潰鐨勪袱涓緥瀛愩€備笂鍥炬樉绀轰簡2021骞寸殑姣忔棩娓╁害鏁版嵁銆備笂鍥炬樉绀轰簡1990-2021骞寸殑姣忔棩娓╁害鏁版嵁銆傝櫧鐒舵垜浠彲浠ュ湪绗竴寮犲浘涓婄湅鍒扮粏鑺傦紝浣嗘槸绗簩寮犲浘鐢变簬鏃堕棿搴忓垪鏁版嵁杈冮暱锛屾墍浠ョ湅涓嶅埌缁嗚妭锛屽彲鑳戒細闅愯棌涓€浜涢噸瑕佺殑鏁版嵁鐐广€備负浜嗚В鍐宠繖涓棶棰橈紝鏈枃灏嗕粙缁?涓畝鍗曠殑鎶€宸э紝浠ュ府鍔╂洿鏈夋晥鍦板憟鐜伴暱鏈熸暟鎹€傝幏鍙栨暟鎹湰鏂囧皢浣跨敤閮芥煆鏋楁満鍦烘瘡鏃ユ暟鎹紝鍖呭惈閮芥煆鏋楁満鍦鸿嚜1942骞翠互鏉ユ祴閲忕殑姘旇薄鏁版嵁銆傝鏁版嵁闆嗗寘鍚瘡鏃ュぉ姘斾俊鎭紝濡傛俯搴︺€侀閫熴€佹皵鍘嬬瓑銆傚鍏ュ繀瑕佺殑搴搃mportnumpyasnpiimportpandasaspdimportmatplotlib.pyplotaspltimportseabornassnsimportplotly.expressaspximportplotly.graph_objectsasgo%matplotlib鍐呰仈璇诲彇CSV鏂囦欢df=pd.read_csv('location/filename.csv')df['date']=pd.to_datetime(df['date'])df.tail()df.info()濂芥秷鎭槸鏁版嵁闆嗘病鏈夌己澶卞€笺€傚噯澶囨暟鎹繖閲屼娇鐢ㄤ簡鏈€楂樺拰鏈€浣庢俯搴︽暟鎹€備娇鐢ㄧ殑鏃堕棿鏄粠1990骞村埌2021骞达紝鍏?2骞淬€傚鏋滄偍鎯抽€夋嫨鍏朵粬鍙橀噺鎴栬寖鍥达紝璇烽殢鎰忎慨鏀逛笅闈㈢殑浠ｇ爜銆俿tart=pd.Timestamp('1990-01-01')end=pd.Timestamp('2021-12-31')df_temp=df[(df['date']>=start)&(df['date']<=end)][['date','maxtp','mintp']]df_temp.reset_index(drop=True,inplace=True)#鍒涘缓骞冲潎娓╁害鍒梖_temp['meantp']=[(i+j)/2fori,jinzip(df_temp.maxtp,df_temp.mintp)]df_temp.head()鍒涘缓涓€浜涙棩鏈熺壒寰佷緵浠ュ悗浣跨敤銆俤f_temp['month']=pd.DatetimeIndex(df_temp['date']).monthdf_temp['year']=pd.DatetimeIndex(df_temp['date']).yeardf_temp['month_year']=[str(i)+'-'+str(j)fori,jinzip(df_temp.year,df_temp.month)]df_temp.head()缁樺埗鏃堕棿搴忓垪鍥句笅闈㈢殑浠ｇ爜鏄剧ず浜嗗浣曚粠DataFrame缁樺埗鍩烘湰鏃堕棿搴忓垪鍥俱€傜◢鍚庡彲浠ュ皢缁撴灉涓庢湰鏂囦腑鐨勫叾浠栧彲瑙嗗寲杩涜姣旇緝銆俻lt.figure(figsize=(16,9))sns.set_style('darkgrid')sns.lineplot(data=df_temp,y='meantp',x='date')plt.show()鍙互鐪嬪埌鍥捐〃浜嗗瘑闆嗭紝璁╂垜浠湅鐪嬪浣曞鐞嗚繖涓€傚鐞嗛潪甯搁暱鐨勬椂闂村簭鍒楁暟鎹殑鍙鍖栨垜浠娇鐢?涓畝鍗曠殑鎶€宸ф潵鍛堢幇闀挎椂闂村簭鍒楋細1.鏀惧ぇ鍜岀缉灏忔垜浠彲浠ュ垱寤轰竴涓氦浜掑紡鍥捐〃锛岀粨鏋滃彲浠ユ斁澶ф垨缂╁皬浠ユ煡鐪嬫洿澶氱粏鑺傘€傛墍浠lotly鏄竴涓湁鐢ㄧ殑搴擄紝鍙互甯姪鎴戜滑鍒涘缓浜や簰寮忓浘琛ㄣ€備竴琛屼唬鐮佺洿鎺ョ粯鍒朵竴涓畝鍗曠殑浜や簰寮忔椂闂村簭鍒楀浘銆俻x.line(df_temp,x='date',y='meantp')浠庣粨鏋滀腑鎴戜滑鍙互鐪嬪埌鏁翠綋鐨勬暟鎹紝鍚屾椂鍙互鏀惧ぇ鎴戜滑鎯宠灞曞紑鐨勫尯鍩熴€傝繖鍙兘鏄疨lotly鍞竴姣攎atplotlib寮虹殑鍦版柟馃榿2銆傜獊鍑烘樉绀烘暟鎹偣濡傛灉鎮ㄩ渶瑕佸叧娉ㄦ煇浜涘€硷紝鍙互浣跨敤鏍囪绐佸嚭鏄剧ず鏁版嵁鐐广€傚悜浜や簰寮忓浘褰㈡坊鍔犳暎鐐规湁鍔╀簬鏍囪鍏抽敭鏁版嵁鐐癸紝姝ゆ椂鎮ㄥ彲浠ユ斁澶т互鏌ョ湅鏇村缁嗚妭銆傜幇鍦ㄨ鎴戜滑灏嗘暎鐐规坊鍔犲埌涔嬪墠鐨勪氦浜掑紡鍥句腑銆備緥濡傦紝鎴戜滑灏嗗垎鍒叧娉ㄩ珮浜?0.5掳C鍜屼綆浜?5掳C鐨勫钩鍧囨俯搴︺€俤f_dot=df_temp[(df_temp['meantp']>=20.5)|(df_temp['meantp']<=-5)]fig=px.line(df_temp,x='date',y='meantp')鍥?add_trace(go.Scatter(x=df_dot.date,y=df_dot.meantp,mode='markers',marker=dict(color='red',size=6)))fig.update_layout(showlegend=False)3,娣诲姞鍒嗙晫绾垮鏋滈渶瑕佸叧娉ㄦ煇浜涘尯鍩燂紝鐢诲垎鐣岀嚎鍙互鍒嗛殧鍏蜂綋鐨勬暟鎹€笺€備緥濡傦紝娣诲姞涓ゆ潯绾夸互鏌ョ湅骞冲潎娓╁害楂樹簬鍜屼綆浜?0.5掳C鍜?5掳C鐨勪竴澶┿€俧ig=px.line(df_temp,x='date',y='meantp')fig.add_hline(y=20,line_width=1.5,line_dash='dash',line_color='red')fig.add_hline(y=-5,line_width=1.5,line_dash='dash',line_color='red')fig.update_layout(showlegend=False)鎴戜滑鍙互澶氬叧娉ㄥ湪绾夸笂鏂规垨涓嬫柟鐨勬暟鎹偣銆?.鏌ョ湅鏁版嵁鍒嗗竷绠辩嚎鍥炬槸涓€绉嶉€氳繃鍥涘垎浣嶆暟鏄剧ず鏁版嵁鍒嗗竷鐨勬柟寮忋€傜绾垮浘涓婄殑淇℃伅鏄剧ず浜嗗眬閮ㄦ€с€佸垎甯冨拰鍋忓害锛屽畠杩樻湁鍔╀簬鍖哄垎寮傚父鍊硷紝鍗充笌鍏朵粬瑙傚療缁撴灉鏄庢樉涓嶅悓鐨勬暟鎹偣銆傛垜浠彧闇€瑕佷竴琛屼唬鐮佸氨鍙互鐩存帴缁樺埗绠卞舰鍥俱€俻x.box(df_temp,x='month_year',y='meantp')5.鍒嗙粍鍜屾樉绀烘瘮渚嬭繖绉嶆柟娉曞彲浠ュ皢鏃堕棿搴忓垪鍥捐浆鎹㈡垚鐑浘锛岀粨鏋滀細鏄剧ず鏈堝钩鍧囨皵娓╃殑鎬讳綋鎯呭喌锛屾偍鍙互浣跨敤鑹叉爣搴︽潵姣旇緝鏁版嵁鐨勫ぇ灏忋€備负浜嗕究浜庣粯鍥撅紝鏁版嵁妗嗛渶瑕佽浆鎹负浜岀淮銆傞鍏堟寜骞村拰鏈堝DataFrame杩涜鍒嗙粍銆俤f_mean=df_temp.groupby(['year','month']).mean().reset_index()df_mean.head()df_cross=df_mean.set_index(['year','month'])['meantp'].unstack()df_cross浣跨敤Plotly缁樺埗鐑浘涔熷彧闇€瑕佷竴琛屼唬鐮併€俻x.imshow(df_cross,height=700,aspect='auto',color_continuous_scale='viridis')6.浣跨敤闆疯揪鍥炬瘮杈冩湀浠藉湪鍙鍖栨椂闂村簭鍒楁暟鎹椂锛岄€氬父鑰冭檻闅忔椂闂寸Щ鍔ㄧ殑杩炵画绾裤€傛垜浠彲浠ョ◢寰敼鍙樹竴涓嬫垜浠湅寰呭畠鐨勬柟寮忥紝鎶婄嚎鐢绘垚鍦嗗湀锛屽氨鍍忓湪鏃堕挓涓婄Щ鍔ㄥ畠浠竴鏍枫€傞浄杈惧浘鍙敤浜庢瘮杈冨悓涓€绫诲埆鏁版嵁鐨勫彲瑙嗗寲鏁堟灉銆傛垜浠彲浠ラ€氳繃鍦ㄥ渾涓婄粯鍒舵湀浠芥潵姣旇緝涓€骞翠腑鍚屾湡鐨勬暟鎹€笺€傞鍏堝噯澶囦竴涓湀銆佸勾鍜岄鑹茬殑鍒楄〃months=[str(i)foriinlist(set(df_mean.month))]+['1']years=list(set(df_mean.year))pal=list(sns.color_palette(palette='viridis',n_colors=len(years)).as_hex())浣跨敤for寰幆鍑芥暟鍦ㄩ浄杈惧浘涓婄敾涓€鏉＄洿绾裤€俧ig=go.Figure()fori,cinzip(years,pal):df=df_mean[df_mean['year']==i]val=list(df.meantp)*2fig.add_trace(go.Scatterpolar(r=val,theta=months,name=i,marker=dict(color=c)))fig.update_layout(height=800)鍒涘缓涓€涓氦浜掑紡闆疯揪鍥撅紝鍏佽杩囨护缁撴灉锛屽彲浠ラ€氳繃鎮仠鍏夋爣璁块棶over鏁版嵁鐐瑰嚭鐜颁互鏄剧ず淇℃伅銆傛€荤粨鍙鍖栨椂闂村簭鍒楀彲浠ユ彁鍙栬秼鍔挎垨瀛ｈ妭鎬у奖鍝嶇瓑淇℃伅銆備娇鐢ㄧ畝鍗曠殑鏃堕棿搴忓垪鍥炬樉绀洪潪甯搁暱鐨勬椂闂村簭鍒楁暟鎹彲鑳戒細鐢变簬鍖哄煙閲嶅彔鑰屼娇鍥捐〃娣蜂贡銆傛湰鏂囧睍绀轰簡缁樺埗闀挎湡鏁版嵁鐨?绉嶅彲瑙嗗寲鏂规硶銆傞€氳繃浣跨敤浜や簰鍔熻兘鍜屾敼鍙樿瑙掞紝鎴戝彲浠ヨ缁撴灉鍙樺緱鍙嬪ソ锛屽府鍔╂垜浠洿鍔犲叧娉ㄩ噸瑕佺殑鏁版嵁鐐广€傝繖浜涙渶鍚庣殑鏂规硶鍙槸涓€浜涙兂娉曘€傛垜鏁㈣偗瀹氳繕鏈夊叾浠栧彲瑙嗗寲鏂规硶涔熷彲浠ョ敤鏉ヨВ鍐宠繖涓棶棰樸€傚鏋滄偍鏈変换浣曞缓璁紝璇烽殢鏃跺彂琛ㄨ瘎璁恒€俬ttps://avoid.overfit.cn/post/dc059f34ae074a0ba09a63109bdfdf60浣滆€咃細BoriharnK
