我想使图像高度不相等,并在调整大小时保持布局不变,而又不改变图像的长宽比,这是我想做的: https://i.ibb.co/nkSXJ4f/Screen-Shot-2019-04-12-at-6-32-32-AM.png
我知道使用CSS网格很容易,但是我认为我可以使代码更简单,因为布局并不复杂
我尝试过的
<?xml version="1.0" encoding="utf-8"?>
<RelativeLayout xmlns:android="http://schemas.android.com/apk/res/android"
android:layout_width="match_parent"
android:layout_height="match_parent"
android:orientation="vertical">
<EditText
android:id="@+id/search_edit_text"
android:layout_width="match_parent"
android:layout_height="wrap_content"
android:ems="10"
android:hint="Enter your search"
android:imeOptions="actionSearch"
android:inputType="text" />
<android.support.v7.widget.RecyclerView
android:id="@+id/recycler_view"
android:layout_width="match_parent"
android:layout_height="wrap_content"
android:layout_below="@id/search_edit_text" />
<ProgressBar
android:id="@+id/progress_bar"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:layout_centerHorizontal="true"
android:layout_centerVertical="true"
android:visibility="gone" />
</RelativeLayout>
from numpy import nan, ndarray, ones_like, vstack, random
from numpy.lib.stride_tricks import as_strided
from numpy.linalg import pinv
from pandas import DataFrame, date_range
def calc_beta(s: ndarray, m: ndarray):
x = vstack((ones_like(m), m))
b = pinv(x.dot(x.T)).dot(x).dot(s)
return b[1]
def rolling_calc_beta(s_df: DataFrame, m_df: DataFrame, period: int):
result = ndarray(shape=s_df.shape, dtype=float)
l, w = s_df.shape
ls, ws = s_df.values.strides
result[0:period - 1, :] = nan
s_arr = as_strided(s_df.values, shape=(l - period + 1, period, w), strides=(ls, ls, ws))
m_arr = as_strided(m_df.values, shape=(l - period + 1, period), strides=(ls, ls))
for row in range(period, l):
result[row, :] = calc_beta(s_arr[row - period, :], m_arr[row - period])
return DataFrame(data=result, index=s_df.index, columns=s_df.columns)
if __name__ == '__main__':
num_sec_dfs, num_periods = 4000, 480
dates = date_range('1995-12-31', periods=num_periods, freq='M', name='Date')
stocks = DataFrame(data=random.rand(num_periods, num_sec_dfs), index=dates,
columns=['s{:04d}'.format(i) for i in
range(num_sec_dfs)]).pct_change()
market = DataFrame(data=random.rand(num_periods), index=dates, columns=
['Market']).pct_change()
betas = rolling_calc_beta(stocks, market, 12)
答案 0 :(得分:0)
尝试使用此代码
body {
height: 100%;
}
*{
box-sizing:border-box;
}
.card {
margin-right: 20px;
vertical-align: top;
height:100vh;
display: block;
overflow: hidden;
}
.medium {
width: 65%;
margin-right: 5%;
float:left
}
.small {
width: 25%;
float:left
}
.card-image { height:100%; }
.card-image img {
width: 100%;
height: 100%;
object-fit: cover;
}
<main class="grid">
<a href="" class="card medium">
<figcaption class="caption">project title</figcaption>
<div class="card-image">
<img src="https://images.unsplash.com/photo-1554565166-cafee0896506?ixlib=rb-1.2.1&ixid=eyJhcHBfaWQiOjEyMDd9&auto=format&fit=crop&w=934&q=80" alt="">
</div>
</a>
<a href="" class="card small">
<figcaption class="caption">Kettle</figcaption>
<div class="card-image">
<img src="https://images.unsplash.com/photo-1554565166-cafee0896506?ixlib=rb-1.2.1&ixid=eyJhcHBfaWQiOjEyMDd9&auto=format&fit=crop&w=934&q=80" alt="">
</div>
</a>
</main>