From 831418f460cf8793332cb3a0b54f1574a2bf4b59 Mon Sep 17 00:00:00 2001 From: rnhmjoj Date: Tue, 19 May 2020 16:37:05 +0200 Subject: [PATCH] ex-6: tweak EMD histogram plots --- ex-6/dist-plot.py | 10 +++------- notes/images/emd-hist-0.005.pdf | Bin 12504 -> 12620 bytes notes/images/emd-hist-0.01.pdf | Bin 12060 -> 12904 bytes notes/images/emd-hist-0.05.pdf | Bin 12505 -> 13321 bytes notes/images/emd-hist-0.pdf | Bin 13028 -> 13164 bytes notes/images/plot.pdf | Bin 0 -> 12979 bytes 6 files changed, 3 insertions(+), 7 deletions(-) create mode 100644 notes/images/plot.pdf diff --git a/ex-6/dist-plot.py b/ex-6/dist-plot.py index 0b5f801..16c3768 100755 --- a/ex-6/dist-plot.py +++ b/ex-6/dist-plot.py @@ -3,14 +3,14 @@ from pylab import * import sys -rcParams['font.size'] = 12 - n = int(input()) a, b, f = loadtxt(sys.stdin, unpack=True) +figure(figsize=(6.3, 3)) + subplot(131) title('FFT') -xlabel('EDM') +xlabel('EMD', x=0) ylabel('counts') hist(a[:n], insert(b[:n], 0, a[0]), weights=f[:n], histtype='stepfilled', color='#e3c5ca', edgecolor='#92182b') @@ -18,16 +18,12 @@ ticklabel_format(style='sci', axis='x', scilimits=(0, 0), useMathText=True) subplot(132) title('RL') -xlabel('EMD') -ylabel('counts') hist(a[n:2*n], insert(b[n:2*n], 0, a[n]), weights=f[n:2*n], histtype='stepfilled', color='#e3c5ca', edgecolor='#92182b') ticklabel_format(style='sci', axis='x', scilimits=(0, 0), useMathText=True) subplot(133) title('convolution') -xlabel('EMD') -ylabel('counts') hist(a[2*n:], insert(b[2*n:], 0, a[2*n]), weights=f[2*n:], histtype='stepfilled', color='#e3c5ca', edgecolor='#92182b') ticklabel_format(style='sci', axis='x', scilimits=(0, 0), useMathText=True) diff --git a/notes/images/emd-hist-0.005.pdf b/notes/images/emd-hist-0.005.pdf index 6fa0f0d5af0c15d560d2595b6921b7fe399d35aa..b0f53507ce41d7e8fffa8f241f51ea6a251469ad 100644 GIT binary patch delta 4663 zcmZvgby$=A_s1QQlWtL9r1ZK#KvKF>kQgO8+2~N5(p>`#N>E9ebf?6_D8&GLL`qO} zVxSTt@*6&0-{(<&_aEEmeqZOj&gXsZ^SSP8n|2??)o25_5eTFT76gN!R1g>h28|?} z10*><ddFi6~`&RzOBW0+$wN z99~hdf!EV<-F$40>hw-D>&5e#iqtCy65S2q55Ck)OVeltA++{^YJz=xS6|WGRQJ8z zo^H*%evwx+2|~%C&BiI7K$p($3(MzWnNmIsb=%Fm&bdXoWv(wriaw$(QB$i$~nzD>Kb${%3rk?HNtG5TM4!C=IMhnX49`EOXsf zmG2v9%fi2EaUj>1IRG@M18PS37hOo<$xNG~DT9abiQ~)s^?gU|@1-nF+Jkfbr@t1v zUyaSDCPs0z+rHs{%!yYfvCPQpwK9Z;1Fa#&w;hst@J8MW;o49FSsSRqaLh-EobI0# zh@!-dYS*p}`1@NM4dQwu2cB)-=O5-jMuD% z0r`XCAZQ@a61zgH8Hi*$zqO>g8g8WJ^uzjLuKm5oh4%!$STQ@tSGQR_ zv}<-Q>y)&5Xm?KjOw|JAv5Tm}%AJ)Cpk;xklMAKj)Ig_^@{XCphvI<~fuJI#>;6A( znQxyByEzdvGDH#<(%V{NBR&6`I8bioF&u0VfU4#_4O=`~P4K(wgMQSN5XjcD?G|CGb_%D&x)Ij=X^r;`y;L9{JF#hoB6b&k%JS8)ZD(h{6|l zcMc}L?~;bvn`j4HbZIm(F=EX|^+n?jXMNAA*#mJwX6V4`xd zwF*Dm#NkfZN$X%u09&g7&UV(R|vc>)^EQMeH)x8+`= zlYELzh5#N#8axL#5l?vicj0qGPn=fs@#!}!m7eu zMd*#k*GV_LK0LY0MCFy)>SX#@PO6bw$QWbk$lHMoN7@>#xwL~sO?(*@I@kp+8EJ4p%=%A&PkC|W6^$D|t=fhd2sJ2TJ1k;*BS;tDMaH-7z zb=jn&=+}qU9ZeEZX|e~F`92-&Fm{-=)nnYH5g{Z%S{jd!gWYAA?bo69nCWrEEzUbk zf5+IEi$qBlUrq=g=NZgAcDMQ#XhxR5ht&d}_O?j!?-pk$C+sY3#oM8c`zlefA^??A zR}emIS;$0awq%gK90z(BBa0ytE7C6CA1s-0)4bJt^T_KJ1@CFuWM@P#zs1po2K(rh zCiON_R=#)G@j^_9)q28PY+oHJvC832B-B?I=meOkN;e_eV2 z;gtmn*>l0%n^1xs*WE198F5u2@g>4OeN^gWx4U)0?<`MN5n-H>noOc9S-XY+_}h^l zv$mQ*CF~93O6uXmv%36@v87?oHg6Q>O(!0ZKB|0&TdCD9m-G$2O=y>RLyY9Zn0yNR zY!IFCpP{yK2Ox}<0I=IQvI&9lT%4kob~v*>o?bHqbJ3NzZ7 z%o~uh`^qtu#6u56W^}rN%?%~@mEC=b=CKMhyw$*FX-aRWuEj$8nhwCp@z(un&qwnv zq_hg6;<`;sP8RTZb_MV|#(gCDVnJ(mXB~2pMNj5guC&m%rA6_KCg~W#bW;pM{otiA zG1kgj7vcJy2mRIlh>GR2){RKJ-J-KkZ%+iJB#M1%?Z5o(DX1l)|7FCMO^1kyOtKxe zCHjuOPaIK9hY~_Wt{u{QBVruz#%4r>os`50zW&{<)+2}NoS_15n}{k<6=)tzJEGih zQmwIhx_sDeM?mk=+@PzRz<4%gqU0pxrcIg}hFD-5#`!nF3E0*iR(UbiE;A+5EY0}& zr~c9wd+#KQJp1%^hSYF#oxk&Ro+LRnAs9j83+_(fwcFg3~Qqv@^<}@0E43#bF^E^_ed& z#(yZJo!W_tzOu`6TG4HA=(_LJPtIeb!31RPZF%(1u1{^DB#tmo0xY z;8GCTT2wy&!Xq=D-ItwR-@2G`#_Y^MsY9-nSPO58;IoqAUNe$8w2lq; 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