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lmfitの推測機能に問題があります。私はいくつかの実験データを収めようとしており、lmfitの異なる組み込みモデルを使いたいと思いますが、関数を直接定義した場合にのみ組み込みモジュールを実行することはできません。組み込み定義モデルをlmfitで使用するときの推測関数
次のコードは機能しませんが、推測機能にコメントすると機能します。
P.S.データの同じ最初の列をすべて使用するループに入れて、データの新しい2番目の列を新しい列として配置できるので、インデックスは最初の列ですデータフレーム。
File "/Users/johndoe/anaconda2/lib/python2.7/site-packages/lmfit/models.py", line 52, in guess_from_peak
cen = x[imaxy]
IndexError: only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices
私はmodels.pyからguess_from_peakを実行しようとしていると私はそれが整数になった問題を持っていなかった：私は、モジュールに組み込まれたコメントを解除した場合に過ごしています
# -*- coding: utf-8 -*-
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from lmfit import Model
from lmfit.models import GaussianModel
minvalue = 3.25
maxvalue = 3.45
rawdata = pd.read_csv('datafile.txt', delim_whitespace = True, names=['XX','YY'])
#Section the data
data = rawdata[(rawdata['XX']>minvalue) & (rawdata['XX'] < maxvalue)]
#Create a DataFrame with the data
dataDataframe = pd.DataFrame()
dataDataframe[0] = data['YY']
dataDataframe = dataDataframe.set_index(data['XX'])
# Gaussian curve
def gaussian(x, amp, cen, wid):
"1-d gaussian: gaussian(x, amp, cen, wid)"
return (amp/(np.sqrt(2*np.pi)*wid)) * np.exp(-(x-cen)**2 /(2*wid**2))
result_gaussian = Model(gaussian).fit(dataDataframe[0], x=dataDataframe.index.values, amp=5, cen=5, wid=1)
mod = GaussianModel()
pars = mod.guess(dataDataframe[0], x = np.float32(dataDataframe.index.values))
out = mod.fit(dataDataframe[0], pars , x = np.float32(dataDataframe.index.values))
plt.plot(dataDataframe.index.values, dataDataframe[0],'bo')
plt.plot(dataDataframe.index.values, result_gaussian.best_fit, 'r-', label = 'Gaussian')
plt.plot(dataDataframe.index.values, out.best_fit, 'b-', label = 'Gaussian2')
plt.legend()
plt.show()
エラーメッセージ。
生データ：
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3.9465194e+000 3.7933209e+002
3.9534183e+000 3.6968182e+002
3.9603174e+000 3.5532330e+002
3.9672165e+000 3.5889478e+002
3.9741156e+000 3.6407483e+002
3.9810147e+000 3.6295535e+002
3.9879138e+000 3.6387720e+002
3.9948130e+000 3.6416183e+002
4.0017118e+000 3.6089911e+002
4.0086112e+000 3.6826599e+002
4.0155101e+000 3.7570581e+002
4.0224090e+000 3.6361679e+002
4.0293083e+000 3.6003177e+002
4.0362072e+000 3.7528265e+002
4.0431066e+000 3.7368362e+002
4.0500054e+000 3.8174683e+002
4.0569048e+000 4.0386084e+002
4.0638037e+000 4.2738324e+002
4.0707026e+000 4.4587668e+002
4.0776019e+000 4.5433987e+002
4.0845008e+000 4.4404083e+002
4.0914001e+000 4.2589066e+002
4.0982990e+000 3.9662262e+002
4.1051979e+000 3.7311325e+002
4.1120973e+000 3.5790594e+002
4.1189961e+000 3.4554794e+002
4.1258955e+000 3.5435367e+002
4.1327944e+000 3.7766489e+002
4.1396937e+000 3.7425708e+002
4.1465926e+000 3.5805182e+002
4.1534915e+000 3.5078519e+002
4.1603909e+000 3.5888739e+002
4.1672897e+000 3.7242688e+002
4.1741891e+000 3.7792575e+002
4.1810880e+000 3.7338031e+002
4.1879873e+000 3.6538324e+002
4.1948862e+000 3.5872525e+002
4.2017851e+000 3.4688391e+002
4.2086844e+000 3.4881918e+002
4.2155833e+000 3.4818274e+002
4.2224827e+000 3.4055273e+002
4.2293816e+000 3.3977536e+002
4.2362804e+000 3.3322891e+002
4.2431798e+000 3.3594962e+002
4.2500787e+000 3.4658536e+002
4.2569780e+000 3.4479083e+002
4.2638769e+000 3.4267456e+002
4.2707763e+000 3.4828876e+002
4.2776752e+000 3.4845041e+002
4.2845740e+000 3.3986469e+002
4.2914734e+000 3.3093433e+002
4.2983723e+000 3.3255331e+002
4.3052716e+000 3.4089511e+002
4.3121705e+000 3.4742932e+002
4.3190699e+000 3.3570422e+002
4.3259687e+000 3.2636673e+002
4.3328676e+000 3.3228806e+002
4.3397670e+000 3.5141977e+002
4.3466659e+000 3.5683167e+002
4.3535652e+000 3.4719943e+002
4.3604641e+000 3.4054718e+002
4.3673630e+000 3.2842471e+002
4.3742623e+000 3.2503146e+002
4.3811612e+000 3.3431540e+002
4.3880606e+000 3.3462808e+002
4.3949594e+000 3.3529224e+002
4.4018588e+000 3.3313510e+002
4.4087577e+000 3.4015598e+002
4.4156566e+000 3.3703552e+002
4.4225559e+000 3.3024448e+002
4.4294548e+000 3.2974786e+002
完全な例が役立ちます。 'Model.guess'はPandasシリーズでうまく動作しない可能性があります。これらのデータをnumpy配列に明示的に変換すると、 'guess（）'は動作しますか？ –
私はpandas.DataFrame.as_matrix関数を使用しようとします。 .pyファイルとデータファイルをどのように送信できますか？それともここに置く方がいいですか？ – ShadowAkira
ちょうど試しました。 DataFrame.index.valuesはすでにndarrayですので、そうではありません。残りのコードとデータはどのように共有できますか？ – ShadowAkira