回答編集履歴
1
追加の質問の回答
test
CHANGED
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@@ -55,3 +55,55 @@
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55
55
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print(ndary) # [0.032158 0.025618 0.022093 0.020022 0.018834 0.018117 0.017508]
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56
56
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57
57
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```
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58
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59
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**追加の質問の回答です。**(2021/11/14 追記)
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60
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61
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> 例えばtheta10 , phi0のような1つ下の行を抽出したいときはどの値を変えればよいのでしょうか。
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62
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63
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64
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65
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skiprows に指定する lambda 式を変更します。
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66
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67
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68
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69
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```Python
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70
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71
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import numpy as np
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72
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73
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import pandas as pd
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74
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75
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76
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77
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df = pd.read_csv('filename', header=None, names=['LAI'], skiprows=lambda x: x%14 not in [0])
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78
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79
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df1 = pd.read_csv('filename', sep='\s+', usecols=[0,1,2], skiprows=lambda x: (3 if x==1 else x%14) not in [3])
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80
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81
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df2 = df1.set_index(df['LAI']).reset_index()
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82
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83
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print(df2)
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84
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85
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"""
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86
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87
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LAI Theta Phi BRF(TOC)
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88
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89
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0 LAI=1.0 10.0 0.0 0.034337
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90
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91
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1 LAI=2.0 10.0 0.0 0.029666
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92
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93
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2 LAI=3.0 10.0 0.0 0.027418
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94
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95
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3 LAI=4.0 10.0 0.0 0.026134
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96
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97
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4 LAI=5.0 10.0 0.0 0.025710
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98
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99
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5 LAI=6.0 10.0 0.0 0.025634
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100
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101
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6 LAI=7.0 10.0 0.0 0.025446
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102
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103
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"""
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104
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105
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ndary = np.array(df2['BRF(TOC)'])
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106
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107
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print(ndary) # [0.034337 0.029666 0.027418 0.026134 0.02571 0.025634 0.025446]
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108
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109
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```
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